write an essay on the topic artificial intelligence

Artificial Intelligence Essay for Students and Children

500+ words essay on artificial intelligence.

Artificial Intelligence refers to the intelligence of machines. This is in contrast to the natural intelligence of humans and animals. With Artificial Intelligence, machines perform functions such as learning, planning, reasoning and problem-solving. Most noteworthy, Artificial Intelligence is the simulation of human intelligence by machines. It is probably the fastest-growing development in the World of technology and innovation . Furthermore, many experts believe AI could solve major challenges and crisis situations.

Types of Artificial Intelligence

First of all, the categorization of Artificial Intelligence is into four types. Arend Hintze came up with this categorization. The categories are as follows:

Type 1: Reactive machines – These machines can react to situations. A famous example can be Deep Blue, the IBM chess program. Most noteworthy, the chess program won against Garry Kasparov , the popular chess legend. Furthermore, such machines lack memory. These machines certainly cannot use past experiences to inform future ones. It analyses all possible alternatives and chooses the best one.

Type 2: Limited memory – These AI systems are capable of using past experiences to inform future ones. A good example can be self-driving cars. Such cars have decision making systems . The car makes actions like changing lanes. Most noteworthy, these actions come from observations. There is no permanent storage of these observations.

Type 3: Theory of mind – This refers to understand others. Above all, this means to understand that others have their beliefs, intentions, desires, and opinions. However, this type of AI does not exist yet.

Type 4: Self-awareness – This is the highest and most sophisticated level of Artificial Intelligence. Such systems have a sense of self. Furthermore, they have awareness, consciousness, and emotions. Obviously, such type of technology does not yet exist. This technology would certainly be a revolution .

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Applications of Artificial Intelligence

First of all, AI has significant use in healthcare. Companies are trying to develop technologies for quick diagnosis. Artificial Intelligence would efficiently operate on patients without human supervision. Such technological surgeries are already taking place. Another excellent healthcare technology is IBM Watson.

Artificial Intelligence in business would significantly save time and effort. There is an application of robotic automation to human business tasks. Furthermore, Machine learning algorithms help in better serving customers. Chatbots provide immediate response and service to customers.

write an essay on the topic artificial intelligence

AI can greatly increase the rate of work in manufacturing. Manufacture of a huge number of products can take place with AI. Furthermore, the entire production process can take place without human intervention. Hence, a lot of time and effort is saved.

Artificial Intelligence has applications in various other fields. These fields can be military , law , video games , government, finance, automotive, audit, art, etc. Hence, it’s clear that AI has a massive amount of different applications.

To sum it up, Artificial Intelligence looks all set to be the future of the World. Experts believe AI would certainly become a part and parcel of human life soon. AI would completely change the way we view our World. With Artificial Intelligence, the future seems intriguing and exciting.

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208 Artificial Intelligence Essay Topics & Research Questions about AI

If you’re looking for interesting AI research questions or essay topics, you’ve come to the right place! In this list, we’ve compiled the latest trending essay topics on artificial intelligence, research questions, and project ideas. It doesn’t matter if you’re a high school student or a Ph.D. holder: here, you will find research questions about artificial intelligence for beginners as well as professionals.

🏆 Best Essay Topics on Artificial Intelligence

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Artificial Intelligence Pros and Cons: Essay Sample
Artificial Intelligence and Unemployment
Ethics of Artificial Intelligence
Artificial Intelligence and Its Impact on the Future
Artificial Intelligence in the Workplace
Artificial Intelligence in Healthcare
Artificial Intelligence Versus Human Intelligence
Impact of Artificial Intelligence on the Education System The paper analyzes how the education system can maximize the advantages of Artificial Intelligence. It compares the traditional education system.
Artificial Intelligence and Its Role in Business The paper looks into the peculiarities of replacing human work with AI to define its potential for development and issues associated with such implementation.
Artificial Intelligence: Effects on Business Artificial intelligence is a wide range of technological advancements that deal with current and future effects on the business sector to enhance profitability.
Artificial Intelligence in the Labor Market The paper states that the continuous improvements in terms of developing artificial intelligence make render this technology close to reality.
Artificial Intelligence in Hospitality Industry The purpose of this paper is to explore the use application of AI in the hospitality industries. The paper focuses on the utilization of booking engines and hotel software systems.
Artificial Intelligence and Effects of Its Rise This work will address unemployment and humanity’s ethical dilemmas, conceived because of the rise of artificial intelligence as a globalization consequence.
Will Artificial Intelligence Replace Humans? The paper discusses whether artificial intelligence replaces humans. There is no single answer to the question because it affects several areas of human life.
Artificial Intelligence as a Potential Threat to Humanity Artificial intelligence (AI) demonstrates immense potential in terms of improving society as long it is developed and implemented properly.
Artificial Intelligence Economy This annotated bibliography aims to discuss seven articles devoted to the topic of the artificial intelligence economy.
Artificial Intelligence and Music The paper discusses use of Artificial Intelligence is rapidly expanding, with several innovative companies adopting it to create music.
Helpmewrite.AI Software’s Business Feasibility The report offers research on Helpmewrite.ai software, which is a product that helps writers, lawyers, and paralegals to compose distinct legal pamphlets promptly.
The Promises and Perils of Artificial Intelligence Artificial intelligence is a powerful technology that can generate economic gains; therefore, it is critical to explore its prehistory and practical and ethical concerns.
Artificial Intelligence in the Hotel Industry The results of the analysis have shown that, overall, Artificial Intelligence proves to have a positive impact on the quality of hotel services and risk management.
Artificial Intelligence in Supply Chain Management This paper establishes the benefits, opportunities, and challenges of adopting machine learning technologies in logistics to help SMEs boost their performance.
Game Playing in Artificial Intelligence The 9th of March, 2016, was a watershed moment in the development of artificial intelligence when the Go champion Lee Sedol was beaten by AlphaGo.
Artificial Intelligence as an Enhancer of Human Abilities The paper states that using Artificial Intelligence to enhance human capabilities is a trending factor that is growing and receiving attention.
Artificial Intelligence: Ethical, Social, Legal Issues The field of artificial intelligence indeed brings numerous ethical, social, professional and legal issues; but are those so disturbing as some people claim?
Artificial Intelligence in Accounting Artificial Intelligence is already replacing some accounting operations, and research indicates that automating these processes is a cost-effective option.
Artificial Intelligence in Business Management The use of artificial intelligence in business management is a sound practice due to many benefits that this technology offers and an opportunity to secure operational controls.
Implementation of Artificial Intelligence in Accounting Practice Introducing artificial intelligence (AI) into accounting is viewed by many researchers as a promising practice, which has been the subject of numerous studies.
The Fundamental Role of Artificial Intelligence in the IT Industry Artificial intelligence is aimed at machine learning and providing software to address the problems in a way similar to human intelligence.
Artificial Intelligence: Use and Potential Risks Automation and intelligent algorithms can significantly benefit business owners by inducing substantial savings.
Artificial Intelligence in Economics Currently, the amount of data available to businesses continues to grow at an exceptional rate due to the developments in artificial intelligence and big data.
E-Commerce: The Role of Artificial Intelligence Though the implementation of artificial intelligence within e-commerce continues to develop rapidly, there are several areas in which it affects the experiences of customers.
Artificial Intelligence in Healthcare: Pros & Cons Rapidly advancing artificial intelligence technologies are gradually changing health care practices and bring a paradigm shift to the medical system.
Business Model Canvas and Artificial Intelligence The nine blocks in the business model canvas, which include vital partners, cost structure, and others in relation to AI, can be summarized to explain their role in business.
Artificial Intelligence and Human Intelligence Comparison AI performs many tasks that are impossible for humans to perform and can be equal to human tasks in interpreting CT scans, recognizing faces and voices, and playing games.
Artificial Intelligence in Aviation and Human-Machine Interfaces The following study analyzes the research results to determine the impact of artificial intelligence (AI) on aviation.
Artificial Intelligence as a Part of Imperialism: Challenges and Solutions Artificial intelligence is part of the process of imperialism, its offshoot, which is commonly called information imperialism.
AI System in Smart Energy Consumption The primary aim of the paper is to expose the significant impacts of AI integration in intelligent energy consumption methods.
Artificial Intelligence and Global Societal Issues Examination of the latest trends in the sphere of development of manufacturing processes indicates significant growth in the interest in artificial intelligence.
The Dawn of Artificial Intelligence: Robots Robots were created by people to satisfy their large insatiable appetites. Such a sacrilegious act against the miracle of creation may cost a lot.
Artificial Intelligence Implementation in Accounting Processes Artificial intelligence seems to be a prospective technology, and its implementation in accounting processes is inevitable.
Artificial Intelligence in Self-Driving Cars The paper states that artificial intelligence in self-driving vehicles cannot conclude several favorable outcomes – or, the “least bad” effects.
Artificial Intelligence in the Oil and Gas Industry Construction, mining, and oil and gas companies are the latecomers in this digitalization, increasingly depending on AI and machine learning (ML) based solutions frenzy.
Algorithmic Bias of Artificial Intelligence Artificial intelligence is a rapidly developing technology which is already extensively utilized in different spheres, yet it has many considerable issues.
Artificial Intelligence in the Workplace: Pros and Cons Artificial intelligence is requested in the modern business world because it can lead to many positive outcomes when applied to employee monitoring.
Artificial Intelligence: Article Review Review of an article by Vinyals, Gaffney & Ewalds (2017) discussing the use of the StarCraft II video game as a platform for AI development and testing.
AI Development, Unemployment, and Universal Basic Income The theme of AI-human relationships takes an important place in science fiction literature, movies, and video games, but it is not limited by them.
Technologies & Artificial Intelligence Challenges For innovative organizations, new technologies introduce not only benefits but also new challenges as the use of artificial intelligence (AI) changes the way organizations work.
Artificial Intelligence and Its Usage in Modern Warfare and Healthcare This paper discusses the question of AI usage in modern warfare, and the usage of Artificial Intelligence used in healthcare in the current situation with the ongoing pandemic.
Usage of AI and Robotics in Project Management Technological progress has allowed humanity to use the technologies they could not implement in the past centuries.
Artificial Intelligence in Enterprise Processes AI affects ERP systems even though AI-driven solutions are not implemented by the majority of businesses. AI is integrated into ERP systems to increase customer satisfaction
How AI and Machine Learning Influence Marketing in the Fashion Industry The study aims to determine if the perception of AI in fashion is a novel concept and whether it holds enough appeal to impact the purchasing decisions of fashion consumers.
Artificial Intelligence Bias and Ethical Algorithms The paper argues in order to solve the problem of lack of diversity and assessing human needs correctly, there is a need to implement better guidelines for Artificial Intelligence.
Artificial Intelligence and Singularity Technological development will inevitably shift humanity’s future in a highly radical way. It is especially true in the case of artificial intelligence (AI).
Fire Scene Investigation: Artificial Intelligence Each container should be labeled uniquely, including the investigator’s name, date and time, sample number, case number, and location of recovery.
Artificial Intelligence and the Future of Nursing The benefits of AI technologies include time and cost efficiency, as well as a high level of care consistency and comprehensiveness.
Customer’s Brand Engagement: The Use of Artificial Intelligence Marketers are currently using artificial intelligence in marketing to automate procedures and provide clients with a distinctive brand experience.
Artificial Intelligence: Pros and Cons Artificial intelligence is definitely a huge step in global technological progress, and like any other technology, it can be both a weapon and a lifesaver.
The Future of Artificial Intelligence in Fiction and Science Although there are numerous technological advancements, not many of them have caused such a tremendous controversy as artificial intelligence.
AI, Human Control and Safety The given evaluative analysis will primarily focus on the topic of artificial intelligence, human control, and safety.
Artificial Intelligence: Integrated in Healthcare This paper aims to talk about AI as an innovative idea that can be integrated into healthcare. It will detail the strategies used in executing AI.
Medical Innovations: 3D Bioprinting Artificial Intelligence This paper will discuss two medical technological innovations that are significant for the future of a medical organization and how different stakeholders could benefit from them.
Blockchain and Other Artificial Intelligence Systems The project describes the basic features of blockchain and AI technologies, along with the possibilities for their future use in different spheres of human activity.
Artificial Intelligence Projects Failed The research paper provides a detailed worldwide timeline of artificial intelligence projects that were attempted and failed and the threats they have caused.
Risks of Artificial Intelligence Data-Mining by Tech Corporations With the exponential advancement of Artificial Intelligence, the notion of data being valuable regarding marketability has permeated the cultural zeitgeist.
What Will Happen When AI Picks Up Social Biases About Gender? Social biases on gender will not have room when Artificial Intelligence takes over and the systems are put into everyday life.
Using Information Technology and Artificial Intelligence in Critical Care Medicine Artificial Intelligence in critical care is helping to care for patients faster, supervise more patients, calculate the exact dosage for patients, and collect more detailed data.
Artificial Intelligence in Machinery This essay explores an operation case, discussing the tools in AI, particularly TensorFlow and Theano, and their implementation issues.
Artificial Intelligence Threat for Employees The article “U.S. Lost Over 60 Million Jobs” published focuses on the ongoing unrest around the future of the job market and AI presence within.
New Technology in the Air Cargo Industry: Artificial Intelligence The article “Transport logistic: Artificial Intelligence at Air cargo” discusses how artificial intelligence will revolutionize the air cargo industry.
Artificial Intelligence and How It Affects Hospitality The main challenge in regards to Artificial Intelligence is its current state, which still requires extensive development in order for it to become practical and useful.
Artificial Intelligence (AI) in Health Care The use of AI has increased over the past decades, making it easier for researchers to investigate the most complicated issues.
Artificial Intelligence Through Human Inquiry Much about the possible uses of A.I. and its potential capacities and abilities remains uncertain, which raises many questions as to what the future of A.I. will hold for humans.
Artificial Intelligence and Big Data Impacts on Citizens The concept of artificial intelligence is complex and broad. However, researchers, theorists, and writers contribute to the creation of a clear and factual definition of this term in different ways.
Artificial Intelligence in Strategic Business Management Artificial intelligence basically refers to the intelligence that is created in the software or machines by mankind.
Artificial Intelligence in Medical Field The medical field constantly innovates and develops new technologies to improve patient care. Societies, in general, are significantly impacted by technological innovations.
Artificial Intelligence: Emergence of Employment Issues Artificial intelligence has become particularly widespread in the modern world, but there are significant controversies about the benefits of this technology in people’s lives.
Comparing Artificial Intelligence to Human Intelligence Intelligence is essential for humanity, as it can isolate important information from the environment and systematize it into knowledge used to solve specific problems.
Integrated Apple Home-Based Artificial Intelligence System Integrated Apple Home-based Artificial Intelligence system is an artificial intelligence system that has been tailored to meet the end-users’ home needs.
The Turing Test and Development of Artificial Intelligence The Turing test is conducted with two people and a program, in which the program and one person communicate with a judge.
Artificial Intelligence and the Future of Business AI’s modern field came into being in the 1950s; still, decades were spent on making serious progress in the development of an AI system and turning it from a dream into a reality.
Artificial Intelligence, Insurtech, and Virtual Reality from a Market Perspective AI, Insurtech, and Virtual reality will be presented and discussed in relation to their impact on the market, as well as the disruptions and benefits they may cause.
Artificial Intelligence: Impact on Labor Workforce The development of artificial intelligence often affects drivers and retail workers, healthcare workers, lawyers, accountants, and financial professionals.
The Issue of Artificial Intelligence Integration in Private Health Sector It is possible to develop a particular insight into the perspectives of Artificial Intelligence integration in the private health sector.
Enabling Successful AI Implementation in the Department of Defense This paper seeks to provide a summary and discuss three main points of the article “Enabling Successful AI Implementation in the Department of Defense.”
Marketing Artificial Intelligence Problems The alignment problem when applying artificial intelligence in marketing occurs when managers ask a question that does not align with the set objectives.
Can the World Have a Fair Artificial Intelligence? It is important to consider issues to do with AI because the matter has adverse effects on the depreciation of human labor, information protection, and manipulation of people.
AI-Improved Management Information System This paper evaluates a current management information system and directs on ways to improve it using artificial intelligence and machine learning.
Artificial Intelligence and the Labor Market This essay will argue that although the use of AI is a controversial issue, AI could be implemented positively, allowing the effective cooperation of people and robots.
Artificial Intelligence: Human Trust in Healthcare In the modern epoch of digitalization, artificial intelligence (AI) is widely utilized in education, transportation, media, banking, navigation, and healthcare.
Artificial Intelligence: The Monstrous Entity The conversation around the artificial intelligence as a monstrous entity can provide new perspectives for all discourse communities revolving around this topic.
Implementing Artificial Intelligence and Managing Change in Nursing This paper is going to talk about a planned change, namely the implementation of Artificial Intelligence (AI) in perception, thinking, planning, learning, etc.
AI and Transitional Management The article presented the two sides of artificial intelligence from an objective perspective since the general implementation of AI is almost inevitable.
The Portrayal of Artificial Intelligence Artificial intelligence seems to be Frankenstein’s monster of the new age. Different sources provide significant insight into the portrayal of AI as monstrosity.
Artificial Intelligence and Related Ethical Concerns Technological progress allows people to use AI capabilities increasingly, but this concept is also related to many ethical issues about human rights.
Thinking Processes of Artificial Intelligence This essay will discuss the topic of artificial intelligence in whether artificial intelligence can be capable of thinking processes.
The Finance Portfolio Management: Impact of Artificial Intelligence Despite the existing limitations, various artificial intelligence applications can make portfolio management much more accessible.
The Limits of Global Inclusion in AI (Artificial Intelligence) Development This article is devoted to the theme of the development and implementation of elements of artificial intelligence (AI) in the context of various countries.
Artificial Intelligence: The Articles Review This paper presents the annotated bibliography dedicated the artificial intelligence technologies, their safety or harm to society.
Impact of Artificial Intelligence on the Labor Market The document presents annotated article in question considers the impact the spread of artificial intelligence technology may have on the labor market.
How to Create a Fair Artificial Intelligence The current research aims to find possible ways to create a fair AI: exploring power concentration, mass manipulation, depreciation of human labor, and information protection.
Artificial Intelligence in Scientific and Fiction Works I decided to research what possible benefits can come from cooperation between scientists and science fiction writers regarding the negative image of artificial intelligence.
Artificial Intelligence: Advantages and Applications The advantages mentioned above introduce multiple opportunities for applying AI to acquire improved outcomes. Discussion of such applications.
Artificial Intelligence (AI) and Universal Basic Income Articles included in the annotated bibliography describe problems of Automation and the spread of Artificial Intelligence (AI)-based technologies.
AI in Customer Service: Argument Flaws Analyzing AI’s comprehensive functionality can provide sufficient arguments for a variety of options to implement to attract and retain customers.
Artificial Intelligence and Emerging Ethical Risks Technological progress went far beyond our imagination, and Artificial Intelligence became an indispensable companion in everyday life.
AI and Hardware Integration in Business Work Processes AI-driven hardware within businesses has little competition as it is the leading tool for time-saving, cost-reduced, and efficient method processes.
Artificial Intelligence: Potential Problems and Threats Artificial intelligence can be used for unsuitable purposes, but this is not a scientific problem but rather a moral and ethical one.
Implementation of AI in Law Practice There are many benefits of AI application to large firms that have a lot of unprocessed data or smaller firms that do not have the staff to cover all the tasks.
Companies’ Reputation and Artificial Intelligence This paper discusses companies’ reputations and whether artificial intelligence (AI) has the capacity to predict customer and competitor behavior.
AI: Agent Human Interactions In this case study a system that detects the status of the baby, that is, if the baby is awake, and it has an interface implemented with agent human interaction is considered.
Artificial Intelligence in Business Administration Changes The current state of AI technology does not allow launching ambitious projects that will completely change the way businesses operate.
Artificial Intelligence in the Working Process The purpose of this paper is to describe the impact of artificial intelligence (AI) on the job and its results. AI can do the job that was done by the employee for decades.
Artificial Intelligence. Unmanned Mission Communications Communication networks are essential in facilitating the operations of autonomous systems as they are used in monitoring, collecting data, and exploring hard-to-reach areas.
Could Artificial Intelligence ‘End Mankind’ or Is It All Alarmist Nonsense? The idea of AI ending humankind and leading to a global catastrophe does not represent modern reality accurately.
Artificial Intelligence: Its Potential and Use Artificial intelligence has been presented as a technology that will not replace human beings, but help them perform tasks better.
Artificial Intelligence: Science Fiction Novels Many writers created stories and novels in the science fiction genre in an attempt to predict how the life where robots are not just machines but equal members of society would be.
“Artificial Intelligence: A Competitive Advantage for the US Army” Review The document offers a substantial review of how the implementation of artificial intelligence (AI) may become a crucial competitive advantage for the US military.
The Use of Starcraft II Video Games for AI Research The article is devoted to the rules for writing effective thesises, for each rule there are examples of good and bad writing.
AI and Machine Self-Learning Machine self-learning has become a perfect solution for complex business problems that cannot be solved by software engineering or human judgment.
Explainable Artificial Intelligence in Accounting The broad implementation of AI in such fields as accounting lays the ground for the drastic changes in management and methods that are utilized by specialists.
Artificial Intelligence, Internet of Things, and the Impact on Facilities’ Environments The use of AI and IoT is unlikely to replace facilities’ teams because the decision-making process still requires human input.
Artificial Intelligence and Ethical Implications If we create artificial intelligence based on human intelligence, some of the less needed qualities will be omitted during the process of abstraction.
The Artificial Intelligence Machine AlphaGo Zero The selected technology is an artificial intelligence (AI) machine by the name of AlphaGo Zero. It is an evolution of previous well-known machines from the company Deep Mind.
Regional Employment and Artificial Intelligence in Japan
Artificial Intelligence and the Human Race
Medicine and Artificial Intelligence
Artificial Intelligence and Machine Learning Applied at the Point of Care
Difference Between Artificial Intelligence and Human
The Four Debatable Viewpoints One May Have About Artificial Intelligence
Artificial Intelligence and Its Impact on Accounting
Rational Choice and Artificial Intelligence
The Ethics and Its Relation To Artificial Intelligence
Artificial Intelligence and Medicine
Privacy, Algorithms, and Artificial Intelligence
Artificial Intelligence: Can Computers Think
Cognitive Science and Its Link to Artificial Intelligence
Artificial Intelligence Replacing the Art of Traditional Selling
The Beauty and Danger of Artificial Intelligence
Digital Devices for Artificial Intelligence Applications
Artificial Intelligence and the Field of Robotics
Could Artificial Intelligence Replace Teachers
Artificial Intelligence and Neuromorphic Engineering
Artificial Intelligence Based Improvised Explosive Devices
Big Data Technologies and Artificial Intelligence
Artificial Intelligence and Its Effects on Business
Modern Technology and Artificial Intelligence
Multilayered Perceptron and Artificial Intelligence
Distributed, Decentralized, and Democratized Artificial Intelligence
Artificial Intelligence and Video Games
Some Considerations About Artificial Intelligence and Its Implications
Comparing Human Intelligence With Artificial Intelligence
Artificial Intelligence During the World Today
Artificial Intelligence and the Future of Human Rights
Economic Policy for Artificial Intelligence
Artificial Intelligence for Human Intelligence and Industrial
The Morality and Utility of Artificial Intelligence
Artificial Intelligence and Behavioral Economics
Blockchain and Artificial Intelligence Technologies
The Effects Artificial Intelligence Has Had on Society and Business
Marketing and Artificial Intelligence
Artificial Intelligence and Machines Automation
People Copy the Actions of Artificial Intelligence
Artificial Intelligence for Healthcare in Africa
Healthcare System Using Artificial Intelligence
Artificial Intelligence for the Future Radiology Diagnostic Service
Artificial Intelligence and Marketing
Copyright Protection for Artificial Intelligence
The Potential and Future of Artificial Intelligence
Artificial Intelligence and the Human Mind
Expert Systems and Its Relationship With Artificial Intelligence
Artificial Intelligence and Its Effect on Mankind
The Nexus Between Artificial Intelligence and Economics
Artificial Intelligence, Based Training and Placement Management
Artificial Intelligence and Its Implications for Income Distribution and Unemployment
Machine Learning and Artificial Intelligence in Finance
The Pros and Cons of Artificial Intelligence
Artificial Intelligence and the Legal Profession
Continual Learning: The Next Generation of Artificial Intelligence
Artificial Intelligence and Its Uses
Regulation Within the Development of Artificial Intelligence
Artificial Intelligence and Computer Science
Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery
Artificial Intelligence and Cognitive Reasoning
Can Artificial Intelligence Become Smarter Than Humans?
Should Humanity Fear Advances in Artificial Intelligence?
How Does Artificial Intelligence Affect the Retail Industry?
What Are Some of the Ethical Challenges Posed by the Use of Artificial Intelligence for Hiring?
Does Artificial Intelligence Impact the Creative Industries?
Can Artificial Intelligence Change the Way in Which Companies Recruit, Train, Develop, and Manage Human Resources in Workplace?
Will Artificial Intelligence Defeat Human Intelligence?
How Can Artificial Intelligence Help Modern Society?
Can Artificial Intelligence Lead to a More Sustainable Society?
What Role Will Artificial Intelligence Play in Human Affairs in the Next Few Decades?
How Can Artificial Intelligence Help Us Understand Human Creativity?
Will Artificial Intelligence Devices Become Human Best Friend?
Why Must Artificial Intelligence Be Regulated?
Should Artificial Intelligence Have Human Rights?
Why Artificial Intelligence Won’t Dominate the Future?
How Does Artificial Intelligence Impact Today’s Society?
Will Artificial Intelligence Overpower Human Beings?
Should Artificial Intelligence Take Over the Jobs of the Tertiary Sector?
How Will Artificial Intelligence Impact the World?
Should People Develop Artificial Intelligence?
How Does Mary Shelley’s Depiction Show the Threats of Artificial Intelligence?
What Can Artificial Intelligence Offer Coral Reef Managers?
How Will Artificial Intelligence Affect the Job Industry in the Future?
Should the Innovative Evolution of Artificial Intelligence be Regulated?
Will Artificial Intelligence Have a Progressive or Retrogressive Impact on Our Society?

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StudyCorgi. (2022, March 1). 208 Artificial Intelligence Essay Topics & Research Questions about AI. https://studycorgi.com/ideas/artificial-intelligence-essay-topics/

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StudyCorgi . 2022. "208 Artificial Intelligence Essay Topics & Research Questions about AI." March 1, 2022. https://studycorgi.com/ideas/artificial-intelligence-essay-topics/.

These essay examples and topics on Artificial Intelligence were carefully selected by the StudyCorgi editorial team. They meet our highest standards in terms of grammar, punctuation, style, and fact accuracy. Please ensure you properly reference the materials if you’re using them to write your assignment.

This essay topic collection was updated on March 8, 2024 .

Artificial Intelligence Essay

500+ words essay on artificial intelligence.

Artificial intelligence (AI) has come into our daily lives through mobile devices and the Internet. Governments and businesses are increasingly making use of AI tools and techniques to solve business problems and improve many business processes, especially online ones. Such developments bring about new realities to social life that may not have been experienced before. This essay on Artificial Intelligence will help students to know the various advantages of using AI and how it has made our lives easier and simpler. Also, in the end, we have described the future scope of AI and the harmful effects of using it. To get a good command of essay writing, students must practise CBSE Essays on different topics.

Artificial Intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. It is concerned with getting computers to do tasks that would normally require human intelligence. AI systems are basically software systems (or controllers for robots) that use techniques such as machine learning and deep learning to solve problems in particular domains without hard coding all possibilities (i.e. algorithmic steps) in software. Due to this, AI started showing promising solutions for industry and businesses as well as our daily lives.

Importance and Advantages of Artificial Intelligence

Advances in computing and digital technologies have a direct influence on our lives, businesses and social life. This has influenced our daily routines, such as using mobile devices and active involvement on social media. AI systems are the most influential digital technologies. With AI systems, businesses are able to handle large data sets and provide speedy essential input to operations. Moreover, businesses are able to adapt to constant changes and are becoming more flexible.

By introducing Artificial Intelligence systems into devices, new business processes are opting for the automated process. A new paradigm emerges as a result of such intelligent automation, which now dictates not only how businesses operate but also who does the job. Many manufacturing sites can now operate fully automated with robots and without any human workers. Artificial Intelligence now brings unheard and unexpected innovations to the business world that many organizations will need to integrate to remain competitive and move further to lead the competitors.

Artificial Intelligence shapes our lives and social interactions through technological advancement. There are many AI applications which are specifically developed for providing better services to individuals, such as mobile phones, electronic gadgets, social media platforms etc. We are delegating our activities through intelligent applications, such as personal assistants, intelligent wearable devices and other applications. AI systems that operate household apparatus help us at home with cooking or cleaning.

Future Scope of Artificial Intelligence

In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is becoming a popular field in computer science as it has enhanced humans. Application areas of artificial intelligence are having a huge impact on various fields of life to solve complex problems in various areas such as education, engineering, business, medicine, weather forecasting etc. Many labourers’ work can be done by a single machine. But Artificial Intelligence has another aspect: it can be dangerous for us. If we become completely dependent on machines, then it can ruin our life. We will not be able to do any work by ourselves and get lazy. Another disadvantage is that it cannot give a human-like feeling. So machines should be used only where they are actually required.

Students must have found this essay on “Artificial Intelligence” useful for improving their essay writing skills. They can get the study material and the latest updates on CBSE/ICSE/State Board/Competitive Exams, at BYJU’S.

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114 Artificial Intelligence Essay Topic Ideas & Examples

Inside This Article

Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize various aspects of our lives. From autonomous vehicles to virtual assistants, AI technologies are becoming increasingly prevalent. If you have been assigned an essay on artificial intelligence and are struggling to come up with a topic, look no further. Here are 114 AI essay topic ideas and examples to inspire your writing:

The impact of AI on job automation: How will AI technologies reshape the workforce?
The ethical implications of AI: Should there be limits on how AI can be used?
The future of AI in healthcare: How can AI enhance medical diagnosis and treatment?
The role of AI in education: How can AI technologies improve the learning experience?
AI and privacy concerns: What are the risks associated with AI technologies and personal data?
The use of AI in criminal justice: Can AI systems make fair and unbiased decisions?
The potential dangers of superintelligent AI: Should we be concerned about AI surpassing human intelligence?
AI and creativity: Can AI systems be creative in the same way humans are?
The impact of AI on mental health: How can AI technologies assist in diagnosing and treating mental illnesses?
The role of AI in climate change mitigation: How can AI help reduce carbon emissions?
The future of transportation with AI: How will autonomous vehicles change the way we travel?
AI and cybersecurity: Can AI technologies enhance our ability to detect and prevent cyber attacks?
The impact of AI on social interactions: How will AI-powered virtual assistants affect human relationships?
Bias in AI algorithms: How can we ensure fairness and impartiality in AI decision-making?
The ethical implications of using AI in warfare: Should autonomous weapons be allowed?
AI and the arts: How can AI technologies be used in creative fields such as music and painting?
The role of AI in disaster response: How can AI help in predicting and managing natural disasters?
The impact of AI on journalism: How will AI technologies influence news reporting and media?
The use of AI in agriculture: How can AI optimize farming practices?
AI and financial markets: How can AI algorithms be used for better investment decisions?
The challenges of regulating AI: How can governments ensure safe and responsible development of AI technologies?
AI and human rights: What are the potential threats to privacy and freedom posed by AI?
The role of AI in space exploration: How can AI assist in exploring the universe?
AI and language translation: How can AI technologies improve communication across different languages?
The impact of AI on creativity: Will AI systems replace human creativity or enhance it?
The use of AI in customer service: How can AI-powered chatbots improve customer experiences?
AI and the future of work: How will AI technologies affect employment opportunities?
The role of AI in personalized medicine: How can AI help tailor treatments for individual patients?
AI and education inequality: How can AI technologies bridge the gap between privileged and underprivileged students?
The impact of AI on the economy: Will AI lead to job creation or job displacement?
AI and augmented reality: How can AI enhance the AR experience?
The use of AI in sports: How can AI technologies optimize performance and training?
AI and natural language processing: How can AI understand and generate human language?
The impact of AI on the legal profession: Will AI replace lawyers in the future?
The role of AI in combating fake news: How can AI technologies detect and prevent misinformation?
AI and emotional intelligence: Can AI systems develop emotional intelligence?
The use of AI in wildlife conservation: How can AI technologies help protect endangered species?
AI and transportation infrastructure: How can AI improve traffic management and reduce congestion?
The impact of AI on the entertainment industry: How will AI technologies shape the future of movies and gaming?
AI and personalized advertising: How can AI algorithms target ads to individual preferences?
The role of AI in disaster recovery: How can AI assist in rebuilding after natural disasters?
AI and mental well-being: Can AI technologies provide therapy and support for mental health?
The use of AI in social media: How can AI detect and prevent harmful content?
AI and the future of energy: How can AI optimize energy consumption and production?
The impact of AI on democracy: What are the implications of AI for political systems?
AI and robotics: How can AI enhance the capabilities and interactions of robots?
AI and the aging population: How can AI technologies improve the quality of life for elderly individuals?
The use of AI in retail: How can AI technologies personalize the shopping experience?
AI and virtual reality: How can AI enhance the VR experience?
The impact of AI on creativity in the workplace: Will AI systems replace or empower human creativity?
AI and autonomous drones: What are the potential applications and risks?
The role of AI in social justice: How can AI technologies address systemic biases and discrimination?
AI and disaster prediction: How can AI assist in predicting natural disasters?
The use of AI in architecture and design: How can AI technologies optimize building design?
AI and sustainable development: How can AI help achieve environmental and social sustainability?
The impact of AI on the music industry: How will AI technologies shape music production and consumption?
AI and the future of democracy: Can AI improve citizen engagement and participation?
The role of AI in personalized learning: How can AI technologies adapt educational content to individual students?
AI and autonomous robots in healthcare: What are the benefits and risks?
The use of AI in supply chain management: How can AI optimize logistics and inventory management?
AI and emotional recognition: How can AI systems understand and respond to human emotions?
The impact of AI on urban planning: How can AI technologies create smarter and more sustainable cities?
AI and cybersecurity threats: How can AI be used to detect and prevent cyber attacks?
The role of AI in personalized news curation: How can AI algorithms tailor news articles to individual interests?
AI and personalized fashion: How can AI technologies help consumers find their unique style?
The impact of AI on social inequality: Will AI exacerbate or alleviate existing inequalities?
AI and decision-making: Can AI systems make better decisions than humans?
The use of AI in cultural preservation: How can AI technologies help protect and restore cultural heritage?
AI and the future of transportation infrastructure: How can AI technologies improve roads, bridges, and public transportation?
The role of AI in early detection of diseases: How can AI assist in diagnosing illnesses at an early stage?
AI and personalized entertainment: How can AI technologies tailor movies, music, and games to individual preferences?
The impact of AI on customer behavior analysis: How can AI algorithms predict and influence consumer choices?
AI and the future of democracy: How can AI technologies promote transparency and accountability in governance?
The use of AI in disaster relief: How can AI assist in coordinating rescue and aid efforts?
AI and sustainable agriculture: How can AI technologies optimize farming practices while minimizing environmental impact?
The role of AI in personalized marketing: How can AI algorithms target advertisements to individual preferences?
AI and the future of privacy: How can AI technologies protect personal data in an increasingly connected world?
The impact of AI on creative industries: Will AI systems replace or collaborate with human artists?
AI and autonomous ships: What are the potential benefits and challenges?
The use of AI in wildlife monitoring: How can AI technologies help track and protect endangered species?
AI and the future of cybersecurity: How can AI technologies stay ahead of evolving cyber threats?
The role of AI in personalized fitness: How can AI technologies optimize exercise routines and nutrition plans?
AI and personalized travel recommendations: How can AI algorithms suggest tailored itineraries to individual travelers?
The impact of AI on income inequality: Will AI exacerbate or reduce economic disparities?
AI and the future of journalism: How can AI technologies assist in news reporting and fact-checking?
The use of AI in waste management: How can AI technologies optimize recycling and waste disposal?
AI and autonomous farming: How can AI technologies improve crop yield and reduce resource consumption?
The role of AI in personalized financial advice: How can AI algorithms help individuals make better financial decisions?
AI and the future of privacy: How can AI technologies protect personal information in the age of big data?
The impact of AI on the film industry: How will AI technologies influence movie production and special effects?
AI and autonomous construction: What are the potential applications and challenges?
The use of AI in marine conservation: How can AI technologies help protect marine ecosystems?
AI and the future of transportation logistics: How can AI optimize the movement of goods and reduce carbon emissions?
The role of AI in personalized healthcare: How can AI technologies tailor treatments to individual patients?
AI and personalized gaming: How can AI algorithms create unique gaming experiences for individual players?
The impact of AI on voting systems: Can AI technologies improve the accuracy and security of elections?
AI and sustainable urban planning: How can AI technologies create greener and more livable cities?
The use of AI in personalized nutrition: How can AI algorithms optimize diets for individual health goals?
AI and the future of privacy: How can AI technologies balance the benefits of data analysis with privacy concerns?
The role of AI in personalized advertising: How can AI algorithms target ads to individual preferences without invading privacy?
AI and autonomous underwater vehicles: What are the potential applications and challenges?
The impact of AI on wildlife conservation: How will AI technologies enhance conservation efforts?
AI and the future of transportation safety: How can AI technologies prevent accidents and improve road conditions?
The use of AI in personalized fashion design: How can AI algorithms create customized clothing?
AI and sustainable energy management: How can AI technologies optimize energy usage in homes and buildings?
The role of AI in personalized learning platforms: How can AI technologies adapt educational content to individual students' needs?
AI and the future of privacy: How can AI technologies protect personal information from unauthorized access?
The impact of AI on the gaming industry: How will AI technologies enhance gameplay and virtual worlds?
AI and autonomous construction robots: What are the potential benefits and risks?
The use of AI in personalized travel planning: How can AI algorithms create tailored itineraries based on individual preferences?
AI and sustainable transportation: How can AI technologies optimize public transportation and reduce carbon emissions?
The role of AI in personalized mental health support: How can AI technologies provide therapy and counseling?
AI and personalized music creation: How can AI algorithms compose music based on individual preferences?
The impact of AI on social media manipulation: Can AI technologies detect and prevent the spread of fake news and misinformation?

These 114 artificial intelligence essay topic ideas and examples cover a wide range of areas where AI technologies can make a significant impact. Whether you're interested in the ethical implications of AI or its potential applications in various industries, there is a topic here for you. Choose one that sparks your curiosity and start writing an insightful and engaging essay on artificial intelligence.

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Artificial Intelligence Essay

Who would have imagined that we would live in a world with self-driven cars, robots that could clean our homes, or virtual assistants that could respond to any question we had without having to type it into our mobile devices? Yet, here we are, with all of these amenities that are enhancing and simplifying our lives. Here are some sample essays on artificial intelligence.

100 Words Essay On Artificial Intelligence

200 words essay on artificial intelligence, 500 words essay on artificial intelligence, 4 types of artificial intelligence.

Artificial intelligence is referred to as machine intelligence. It basically refers to the capability of machines to emulate human intelligence. Machines are now capable of learning, planning, thinking, and problem-solving, thanks to artificial intelligence. The most notable aspect of artificial intelligence is how robots simulate human intellect. It is probably the fastest-growing development in the world of technology and innovation. AI is a technology that is transforming every walk of life. Today, artificial intelligence is being used more and more in practically every industry. While technology has improved and eased our lives, it has also put many people's employment at risk.

Artificial intelligence was developed in 1950. John McCarthy is considered as the “Father of artificial intelligence” as he first coined the term. The development of gadgets that can mimic human intelligence, including abilities such as voice recognition, decision-making, and language translation, is known as artificial intelligence. Making computers understand like humans, think like humans, and act like humans is done by instilling data as instructions and inputs.

Taking Over Industry | The need for human help is dwindling as AI has taken over many parts of the industry, which may result in concerns with unemployment in many occupations. However, the degree of control the human species chooses to give technology will always be up to them. As is correctly said, technology works best when it unites people.

AI In Everyday Life | Advancement in technology has a direct influence on our lives, businesses and social life. Whether or not we consciously realise it, AI has begun to penetrate the various aspects of our everyday lives. If we observe, many aspects of our everyday lives now involve the use of artificial intelligence, for instance, face ID and image recognition features in mobile phones, emails, various apps, digital voice assistants like Apple’s Siri and Amazon’s Alexa, Google search, route mapping, traffic updates, weather updates, Netflix and Amazon for entertainment, etc.

The field of computer science and engineering has attempted to simulate the features of human intelligence for a very long time with the help of machines, which is called artificial intelligence. The acronym for it is AI. The things that machines are designed to do through the implementation of AI are to learn, understand, reason, adapt, etc.

British mathematician and computer pioneer, Alan Turing, initiated developments in the then new field of artificial intelligence. In 1950, Turing predicted that a machine will one day be able to completely replicate human intellect.

Artificial Intelligence is the science and engineering of making intelligent machines that would make human life easier. It is concerned with getting computers to do tasks that would normally require human intelligence. AI started showing promising solutions for industry and businesses as well as our daily lives. The developments in artificial intelligence were initially slow and eventually gained pace. But recently, due to advancement of the technological era, the popularity of artificial intelligence got a boost with the evolutionary discoveries being made in the field.

Artificial Intelligence has been categorised into four categories by Arend Hintze:-

The first types of AI are those machines which can react to certain situations but don’t have any sort of memory and hence cannot learn or use past experience. For example – computer chess games.

The second types of AI are those machines which are capable of using past memory to form future ones. An excellent example of this second type of AI is self-driven cars.

The third type of AI at present only exists in theory, and as per the imagination, it will be able to have human emotions like beliefs, desires, opinions, intentions, etc.

The fourth form of AI if ever comes to exist would be the type of AI machine that will be able to have a sense of self-awareness, emotions and consciousness. If this type of AI ever comes to exist, then it would be a real revolution.

Advantages And Disadvantages Of Artificial Intelligence

Just like two sides to a coin, artificial intelligence is subject to be beneficial and have harmful impacts too.

Saves Manual Effort | One of the emerging technologies, artificial intelligence, is proven to be beneficial. It lessens the burden of work that is to be done manually and so a person may save a lot of time with the help of technology. AI can work endlessly without getting tired, unlike humans, and hence bring more work productivity.

Reduces Human Interaction | The negative effects of artificial intelligence are numerous. Any new technology is only intended to make our work simpler; it does not imply that we should stop working. AI requires less human interaction, making students more engaged with the online world than the world in front of them.

Technology is always evolving. It is demonstrating to be a benefit to humanity. Every type of technology has both advantages and disadvantages, and artificial intelligence is no exception. It is important in several fields of business and study, but if misused, it might become a danger to humanity.

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Data Administrator

Database professionals use software to store and organise data such as financial information, and customer shipping records. Individuals who opt for a career as data administrators ensure that data is available for users and secured from unauthorised sales. DB administrators may work in various types of industries. It may involve computer systems design, service firms, insurance companies, banks and hospitals.

Bio Medical Engineer

The field of biomedical engineering opens up a universe of expert chances. An Individual in the biomedical engineering career path work in the field of engineering as well as medicine, in order to find out solutions to common problems of the two fields. The biomedical engineering job opportunities are to collaborate with doctors and researchers to develop medical systems, equipment, or devices that can solve clinical problems. Here we will be discussing jobs after biomedical engineering, how to get a job in biomedical engineering, biomedical engineering scope, and salary.

Ethical Hacker

A career as ethical hacker involves various challenges and provides lucrative opportunities in the digital era where every giant business and startup owns its cyberspace on the world wide web. Individuals in the ethical hacker career path try to find the vulnerabilities in the cyber system to get its authority. If he or she succeeds in it then he or she gets its illegal authority. Individuals in the ethical hacker career path then steal information or delete the file that could affect the business, functioning, or services of the organization.

GIS officer work on various GIS software to conduct a study and gather spatial and non-spatial information. GIS experts update the GIS data and maintain it. The databases include aerial or satellite imagery, latitudinal and longitudinal coordinates, and manually digitized images of maps. In a career as GIS expert, one is responsible for creating online and mobile maps.

Data Analyst

The invention of the database has given fresh breath to the people involved in the data analytics career path. Analysis refers to splitting up a whole into its individual components for individual analysis. Data analysis is a method through which raw data are processed and transformed into information that would be beneficial for user strategic thinking.

Data are collected and examined to respond to questions, evaluate hypotheses or contradict theories. It is a tool for analyzing, transforming, modeling, and arranging data with useful knowledge, to assist in decision-making and methods, encompassing various strategies, and is used in different fields of business, research, and social science.

Geothermal Engineer

Individuals who opt for a career as geothermal engineers are the professionals involved in the processing of geothermal energy. The responsibilities of geothermal engineers may vary depending on the workplace location. Those who work in fields design facilities to process and distribute geothermal energy. They oversee the functioning of machinery used in the field.

Database Architect

If you are intrigued by the programming world and are interested in developing communications networks then a career as database architect may be a good option for you. Data architect roles and responsibilities include building design models for data communication networks. Wide Area Networks (WANs), local area networks (LANs), and intranets are included in the database networks. It is expected that database architects will have in-depth knowledge of a company's business to develop a network to fulfil the requirements of the organisation. Stay tuned as we look at the larger picture and give you more information on what is db architecture, why you should pursue database architecture, what to expect from such a degree and what your job opportunities will be after graduation. Here, we will be discussing how to become a data architect. Students can visit NIT Trichy , IIT Kharagpur , JMI New Delhi .

Remote Sensing Technician

Individuals who opt for a career as a remote sensing technician possess unique personalities. Remote sensing analysts seem to be rational human beings, they are strong, independent, persistent, sincere, realistic and resourceful. Some of them are analytical as well, which means they are intelligent, introspective and inquisitive.

Remote sensing scientists use remote sensing technology to support scientists in fields such as community planning, flight planning or the management of natural resources. Analysing data collected from aircraft, satellites or ground-based platforms using statistical analysis software, image analysis software or Geographic Information Systems (GIS) is a significant part of their work. Do you want to learn how to become remote sensing technician? There's no need to be concerned; we've devised a simple remote sensing technician career path for you. Scroll through the pages and read.

Budget Analyst

Budget analysis, in a nutshell, entails thoroughly analyzing the details of a financial budget. The budget analysis aims to better understand and manage revenue. Budget analysts assist in the achievement of financial targets, the preservation of profitability, and the pursuit of long-term growth for a business. Budget analysts generally have a bachelor's degree in accounting, finance, economics, or a closely related field. Knowledge of Financial Management is of prime importance in this career.

Underwriter

An underwriter is a person who assesses and evaluates the risk of insurance in his or her field like mortgage, loan, health policy, investment, and so on and so forth. The underwriter career path does involve risks as analysing the risks means finding out if there is a way for the insurance underwriter jobs to recover the money from its clients. If the risk turns out to be too much for the company then in the future it is an underwriter who will be held accountable for it. Therefore, one must carry out his or her job with a lot of attention and diligence.

Finance Executive

Product manager.

A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.

Operations Manager

Individuals in the operations manager jobs are responsible for ensuring the efficiency of each department to acquire its optimal goal. They plan the use of resources and distribution of materials. The operations manager's job description includes managing budgets, negotiating contracts, and performing administrative tasks.

Stock Analyst

Individuals who opt for a career as a stock analyst examine the company's investments makes decisions and keep track of financial securities. The nature of such investments will differ from one business to the next. Individuals in the stock analyst career use data mining to forecast a company's profits and revenues, advise clients on whether to buy or sell, participate in seminars, and discussing financial matters with executives and evaluate annual reports.

A Researcher is a professional who is responsible for collecting data and information by reviewing the literature and conducting experiments and surveys. He or she uses various methodological processes to provide accurate data and information that is utilised by academicians and other industry professionals. Here, we will discuss what is a researcher, the researcher's salary, types of researchers.

Welding Engineer

Welding Engineer Job Description: A Welding Engineer work involves managing welding projects and supervising welding teams. He or she is responsible for reviewing welding procedures, processes and documentation. A career as Welding Engineer involves conducting failure analyses and causes on welding issues.

Transportation Planner

A career as Transportation Planner requires technical application of science and technology in engineering, particularly the concepts, equipment and technologies involved in the production of products and services. In fields like land use, infrastructure review, ecological standards and street design, he or she considers issues of health, environment and performance. A Transportation Planner assigns resources for implementing and designing programmes. He or she is responsible for assessing needs, preparing plans and forecasts and compliance with regulations.

Environmental Engineer

Individuals who opt for a career as an environmental engineer are construction professionals who utilise the skills and knowledge of biology, soil science, chemistry and the concept of engineering to design and develop projects that serve as solutions to various environmental problems.

Safety Manager

A Safety Manager is a professional responsible for employee’s safety at work. He or she plans, implements and oversees the company’s employee safety. A Safety Manager ensures compliance and adherence to Occupational Health and Safety (OHS) guidelines.

Conservation Architect

A Conservation Architect is a professional responsible for conserving and restoring buildings or monuments having a historic value. He or she applies techniques to document and stabilise the object’s state without any further damage. A Conservation Architect restores the monuments and heritage buildings to bring them back to their original state.

Structural Engineer

A Structural Engineer designs buildings, bridges, and other related structures. He or she analyzes the structures and makes sure the structures are strong enough to be used by the people. A career as a Structural Engineer requires working in the construction process. It comes under the civil engineering discipline. A Structure Engineer creates structural models with the help of computer-aided design software.

Highway Engineer

Highway Engineer Job Description: A Highway Engineer is a civil engineer who specialises in planning and building thousands of miles of roads that support connectivity and allow transportation across the country. He or she ensures that traffic management schemes are effectively planned concerning economic sustainability and successful implementation.

Field Surveyor

Are you searching for a Field Surveyor Job Description? A Field Surveyor is a professional responsible for conducting field surveys for various places or geographical conditions. He or she collects the required data and information as per the instructions given by senior officials.

Orthotist and Prosthetist

Orthotists and Prosthetists are professionals who provide aid to patients with disabilities. They fix them to artificial limbs (prosthetics) and help them to regain stability. There are times when people lose their limbs in an accident. In some other occasions, they are born without a limb or orthopaedic impairment. Orthotists and prosthetists play a crucial role in their lives with fixing them to assistive devices and provide mobility.

Pathologist

A career in pathology in India is filled with several responsibilities as it is a medical branch and affects human lives. The demand for pathologists has been increasing over the past few years as people are getting more aware of different diseases. Not only that, but an increase in population and lifestyle changes have also contributed to the increase in a pathologist’s demand. The pathology careers provide an extremely huge number of opportunities and if you want to be a part of the medical field you can consider being a pathologist. If you want to know more about a career in pathology in India then continue reading this article.

Veterinary Doctor

Speech therapist, gynaecologist.

Gynaecology can be defined as the study of the female body. The job outlook for gynaecology is excellent since there is evergreen demand for one because of their responsibility of dealing with not only women’s health but also fertility and pregnancy issues. Although most women prefer to have a women obstetrician gynaecologist as their doctor, men also explore a career as a gynaecologist and there are ample amounts of male doctors in the field who are gynaecologists and aid women during delivery and childbirth.

Audiologist

The audiologist career involves audiology professionals who are responsible to treat hearing loss and proactively preventing the relevant damage. Individuals who opt for a career as an audiologist use various testing strategies with the aim to determine if someone has a normal sensitivity to sounds or not. After the identification of hearing loss, a hearing doctor is required to determine which sections of the hearing are affected, to what extent they are affected, and where the wound causing the hearing loss is found. As soon as the hearing loss is identified, the patients are provided with recommendations for interventions and rehabilitation such as hearing aids, cochlear implants, and appropriate medical referrals. While audiology is a branch of science that studies and researches hearing, balance, and related disorders.

An oncologist is a specialised doctor responsible for providing medical care to patients diagnosed with cancer. He or she uses several therapies to control the cancer and its effect on the human body such as chemotherapy, immunotherapy, radiation therapy and biopsy. An oncologist designs a treatment plan based on a pathology report after diagnosing the type of cancer and where it is spreading inside the body.

Are you searching for an ‘Anatomist job description’? An Anatomist is a research professional who applies the laws of biological science to determine the ability of bodies of various living organisms including animals and humans to regenerate the damaged or destroyed organs. If you want to know what does an anatomist do, then read the entire article, where we will answer all your questions.

For an individual who opts for a career as an actor, the primary responsibility is to completely speak to the character he or she is playing and to persuade the crowd that the character is genuine by connecting with them and bringing them into the story. This applies to significant roles and littler parts, as all roles join to make an effective creation. Here in this article, we will discuss how to become an actor in India, actor exams, actor salary in India, and actor jobs.

Individuals who opt for a career as acrobats create and direct original routines for themselves, in addition to developing interpretations of existing routines. The work of circus acrobats can be seen in a variety of performance settings, including circus, reality shows, sports events like the Olympics, movies and commercials. Individuals who opt for a career as acrobats must be prepared to face rejections and intermittent periods of work. The creativity of acrobats may extend to other aspects of the performance. For example, acrobats in the circus may work with gym trainers, celebrities or collaborate with other professionals to enhance such performance elements as costume and or maybe at the teaching end of the career.

Video Game Designer

Career as a video game designer is filled with excitement as well as responsibilities. A video game designer is someone who is involved in the process of creating a game from day one. He or she is responsible for fulfilling duties like designing the character of the game, the several levels involved, plot, art and similar other elements. Individuals who opt for a career as a video game designer may also write the codes for the game using different programming languages.

Depending on the video game designer job description and experience they may also have to lead a team and do the early testing of the game in order to suggest changes and find loopholes.

Radio Jockey

Radio Jockey is an exciting, promising career and a great challenge for music lovers. If you are really interested in a career as radio jockey, then it is very important for an RJ to have an automatic, fun, and friendly personality. If you want to get a job done in this field, a strong command of the language and a good voice are always good things. Apart from this, in order to be a good radio jockey, you will also listen to good radio jockeys so that you can understand their style and later make your own by practicing.

A career as radio jockey has a lot to offer to deserving candidates. If you want to know more about a career as radio jockey, and how to become a radio jockey then continue reading the article.

Choreographer

The word “choreography" actually comes from Greek words that mean “dance writing." Individuals who opt for a career as a choreographer create and direct original dances, in addition to developing interpretations of existing dances. A Choreographer dances and utilises his or her creativity in other aspects of dance performance. For example, he or she may work with the music director to select music or collaborate with other famous choreographers to enhance such performance elements as lighting, costume and set design.

Social Media Manager

A career as social media manager involves implementing the company’s or brand’s marketing plan across all social media channels. Social media managers help in building or improving a brand’s or a company’s website traffic, build brand awareness, create and implement marketing and brand strategy. Social media managers are key to important social communication as well.

Photographer

Photography is considered both a science and an art, an artistic means of expression in which the camera replaces the pen. In a career as a photographer, an individual is hired to capture the moments of public and private events, such as press conferences or weddings, or may also work inside a studio, where people go to get their picture clicked. Photography is divided into many streams each generating numerous career opportunities in photography. With the boom in advertising, media, and the fashion industry, photography has emerged as a lucrative and thrilling career option for many Indian youths.

An individual who is pursuing a career as a producer is responsible for managing the business aspects of production. They are involved in each aspect of production from its inception to deception. Famous movie producers review the script, recommend changes and visualise the story.

They are responsible for overseeing the finance involved in the project and distributing the film for broadcasting on various platforms. A career as a producer is quite fulfilling as well as exhaustive in terms of playing different roles in order for a production to be successful. Famous movie producers are responsible for hiring creative and technical personnel on contract basis.

Copy Writer

In a career as a copywriter, one has to consult with the client and understand the brief well. A career as a copywriter has a lot to offer to deserving candidates. Several new mediums of advertising are opening therefore making it a lucrative career choice. Students can pursue various copywriter courses such as Journalism , Advertising , Marketing Management . Here, we have discussed how to become a freelance copywriter, copywriter career path, how to become a copywriter in India, and copywriting career outlook.

In a career as a vlogger, one generally works for himself or herself. However, once an individual has gained viewership there are several brands and companies that approach them for paid collaboration. It is one of those fields where an individual can earn well while following his or her passion.

Ever since internet costs got reduced the viewership for these types of content has increased on a large scale. Therefore, a career as a vlogger has a lot to offer. If you want to know more about the Vlogger eligibility, roles and responsibilities then continue reading the article.

For publishing books, newspapers, magazines and digital material, editorial and commercial strategies are set by publishers. Individuals in publishing career paths make choices about the markets their businesses will reach and the type of content that their audience will be served. Individuals in book publisher careers collaborate with editorial staff, designers, authors, and freelance contributors who develop and manage the creation of content.

Careers in journalism are filled with excitement as well as responsibilities. One cannot afford to miss out on the details. As it is the small details that provide insights into a story. Depending on those insights a journalist goes about writing a news article. A journalism career can be stressful at times but if you are someone who is passionate about it then it is the right choice for you. If you want to know more about the media field and journalist career then continue reading this article.

Individuals in the editor career path is an unsung hero of the news industry who polishes the language of the news stories provided by stringers, reporters, copywriters and content writers and also news agencies. Individuals who opt for a career as an editor make it more persuasive, concise and clear for readers. In this article, we will discuss the details of the editor's career path such as how to become an editor in India, editor salary in India and editor skills and qualities.

Individuals who opt for a career as a reporter may often be at work on national holidays and festivities. He or she pitches various story ideas and covers news stories in risky situations. Students can pursue a BMC (Bachelor of Mass Communication) , B.M.M. (Bachelor of Mass Media) , or MAJMC (MA in Journalism and Mass Communication) to become a reporter. While we sit at home reporters travel to locations to collect information that carries a news value.

Corporate Executive

Are you searching for a Corporate Executive job description? A Corporate Executive role comes with administrative duties. He or she provides support to the leadership of the organisation. A Corporate Executive fulfils the business purpose and ensures its financial stability. In this article, we are going to discuss how to become corporate executive.

Multimedia Specialist

A multimedia specialist is a media professional who creates, audio, videos, graphic image files, computer animations for multimedia applications. He or she is responsible for planning, producing, and maintaining websites and applications.

Quality Controller

A quality controller plays a crucial role in an organisation. He or she is responsible for performing quality checks on manufactured products. He or she identifies the defects in a product and rejects the product.

A quality controller records detailed information about products with defects and sends it to the supervisor or plant manager to take necessary actions to improve the production process.

Production Manager

A QA Lead is in charge of the QA Team. The role of QA Lead comes with the responsibility of assessing services and products in order to determine that he or she meets the quality standards. He or she develops, implements and manages test plans.

Process Development Engineer

The Process Development Engineers design, implement, manufacture, mine, and other production systems using technical knowledge and expertise in the industry. They use computer modeling software to test technologies and machinery. An individual who is opting career as Process Development Engineer is responsible for developing cost-effective and efficient processes. They also monitor the production process and ensure it functions smoothly and efficiently.

AWS Solution Architect

An AWS Solution Architect is someone who specializes in developing and implementing cloud computing systems. He or she has a good understanding of the various aspects of cloud computing and can confidently deploy and manage their systems. He or she troubleshoots the issues and evaluates the risk from the third party.

Azure Administrator

An Azure Administrator is a professional responsible for implementing, monitoring, and maintaining Azure Solutions. He or she manages cloud infrastructure service instances and various cloud servers as well as sets up public and private cloud systems.

Computer Programmer

Careers in computer programming primarily refer to the systematic act of writing code and moreover include wider computer science areas. The word 'programmer' or 'coder' has entered into practice with the growing number of newly self-taught tech enthusiasts. Computer programming careers involve the use of designs created by software developers and engineers and transforming them into commands that can be implemented by computers. These commands result in regular usage of social media sites, word-processing applications and browsers.

Information Security Manager

Individuals in the information security manager career path involves in overseeing and controlling all aspects of computer security. The IT security manager job description includes planning and carrying out security measures to protect the business data and information from corruption, theft, unauthorised access, and deliberate attack

ITSM Manager

Automation test engineer.

An Automation Test Engineer job involves executing automated test scripts. He or she identifies the project’s problems and troubleshoots them. The role involves documenting the defect using management tools. He or she works with the application team in order to resolve any issues arising during the testing process.

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Artificial Intelligence Essays

Artificial Intelligence Essays (Examples)

475+ documents containing “artificial intelligence” .

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Artificial intelligence.

Artificial Intelligence (AI) is the science and art of developing machines that simulate human intelligence. AI is frequently used for routine tasks that would normally involve human skills, such as visual perception, speech-recognition, and decision making. o me, Apple's Siri application is a good example of commonly-used AI technology. AI is particularly useful in the medical field, as it has allowed for better monitoring of patients combined with a more efficient utilization of resources. One way that it has done so is by using AI to replace human beings in certain applications. For example, a very technical application of AI is in radiology and imaging, where computers can be used to read imaging reports, eliminating the risk of human error, and allowing diagnosis prior to when a human doctor could detect human abnormalities (AAAI, 2013). However, applications like that one could be accomplished through traditional programming that may or may….

The use of AI toys to alleviate loneliness in nursing homes or skilled living facilities is something that has already seen some success. For some time, the use of therapy dogs to elevate patient mood has been an accepted course of treatment for many elderly patients. However, there are some challenges, such as allergies and hygiene concerns, which can prohibit the use of therapy dogs for some people. The use of electronic dogs has been shown to offer many of the same benefits as actual live therapy dogs for those people. In fact, according to William Banks, a professor of geriatric medicine at Saint Louis University, "The most surprising thing is they work almost equally well in terms of alleviating loneliness and causing residents to form attachments" (Saint Louis University, 2008). In other words, electronic dogs can be a substitute for actual canine companionship.

Moreover, the benefit of these electronic pets goes beyond mere companionship; they can be helpful in scenarios where patients are experiencing more than loneliness. For example, the use of an AI toy seal named Paro to help patients in a nursing facility who were suffering from dementia showed not only an alleviation of loneliness, but also a general calming effect. Some of the patients developed strong relationships with the pet, acting almost like surrogate parents or grandparents in their treatment of the pet. Most notably, the affection was not dependent upon the toy's interaction with them, but would linger even after the toy powered-off (Harmon, 2010). Furthermore, while critics suggest that the robots would be limiting in such an environment, the anecdotal evidence suggests that the robots actually stimulate human interaction (Harmon, 2010). Finally, the patients benefitted from the companionship despite knowing that the animal was not actually alive.

Therefore, the AI tool suggested for use in the skilled nursing context is a toy marketed towards children, which is called a Furby. Furbys are small toys that interact with the user. They can interact with direct contact, as well as having related computer applications that can change their behavior. They speak to the user, and become more active after the user interacts with them on a regular basis. They speak a language called "Furbish," but will speak English after more communication. Perhaps most significantly, much of their behavior emulates that of a human infant. For example,

Artificial Intelligence and the Human Brain Although artificial intelligence is not a new debate topic, until now, there is no exact evidence that proves that scientists and philosophies have been reaching an agreement about the existence of this feature in our world. Scientists still claim that artificial intelligence is possible to achieve and the next technology advancement would be able to release the creation. On the other hand, many parties persist with their disagreement on the creation of human-intelligent machine. In the reality, computer scientists have made much progress with their machine improvement that follow the concept of artificial intelligence. The earlier generation had built computer as the assisting device to accomplish difficult mathematics calculation and completing time-consuming tasks. In the future, computer scientists expect that they would be able to create computer that would be able to make their own decision just like human being does, with extra points on the….

Chan, T.C. & Petrie, G.F. (1998). The Brain Learns Better in Well-Designed School Environments. In Classroom Leadership Online. Vol. 2, Number 3, November 1998. Retrieved May 19, 2003 from The Association for Supervision and Curriculum Development. Web site: http://www.ascd.org/readingroom/classlead/9811/2nov98.html

Dunn, J.S. (2002). Thinking Machines. Retrieved May 18, 2003 from Washington State University. Web site: http://www.wsu.edu/~honors/thesis/complete_thesis/fall_2002/Jeffrey_Dunn.pdf

Harris, T. (2003). How Robots Work. Retrieved May 18, 2003 from HowStuffWorks.com Electronic - Gadgets. Web site: http://electronics.howstuffworks.com/robot.htm

IBM Announces Latest Supercomputer. Jun. 29, 2000. Retrieved May 19, 2003 from CBSNews.com. Web site: http://www.cbsnews.com/stories/2000/06/29/tech/main210684.shtml

Artificial Intelligence What if these theories are really true, and we were magically shrunk and put into someone's brain while he was thinking. We would see all the pumps, pistons, gears and levers working away, and we would be able to describe their workings completely, in mechanical terms, thereby completely describing the thought processes of the brain. But that description would nowhere contain any mention of thought! It would contain nothing but descriptions of pumps, pistons, levers! Gottfried Willhelm Leibniz (1679). Not even a century ago -- in fact, not even a half-century ago -- few people could have imagined the present-day world with computers operating most of the government and business processes and the Internet running in millions of homes. Thus it would have been nearly impossible to comprehend artificial intelligence (AI) and that scientists would try to create a machine (AI) to learn, adapt, reason, correct or improve itself. Whether or….

Copeland, B.J. (2000). "What is AI." Website visited 21 May, 2004. http://www.alanturing.net/turing_archive/pages/Reference%20Articles/what_is_AI/What%20is%20AI07.html

Freeman, D. (1990). "Common sense and the computer." Discover, 11 64-71.

Gershenfeld, N. (1999).When things start to think. New York: Henry Holt.

Kurzwell, R. (1999). Age of spiritual machines. New York: Penguin Press.

Artificial Intelligence Is the Ability to Learn

Artificial Intelligence Intelligence is the ability to learn about, to learn from and understand and interact with one's environment. Artificial intelligence is the intelligence of machines and is a multidisciplinary field which involves psychology, cognitive science, and neuroscience and computer science. It enables machines to become capable of doing those things which the human mind can do. Though the folklore of artificial intelligence dates back to a long time ago, it actually became available to people only after the development of the electronic computer. Today research in artificial intelligence is so highly invested in and the field has significantly advanced to such an extent that it has become a huge part of our lives and it is considered to be America's Next big thing. Introduction: If we look at the definition of intelligence, there are probably infinite ones. But if we put it into the most refined words, then intelligence is only ones….

References:

Bongard, Josh, Max Lungarella, and Fumiya Lida. 50 Years of Artificial Intelligence. 2007.

Hawkins, J., and S. Blakeslee. On intelligence. Owl Books, 2005.

Jones, Tim. AI Application Programming. Charles River Media, 2003.

Russell, Stuart. Artificial Intelligence: A Modern Approach. 1. 1995.

Artificial Intelligence & Data Warehouses

Most significantly, the use of LSI technologies to create more effective insights into how to improve customer service as evidenced by the use of AI was part of Decision Support Systems (DSS) (Phillips-Wren, Mora, Forgionne, Gupta, 2009) is growing. Second, the creation of ontological databases that aligns to person's roles (Pinto, Marques, Santos, 2009) is also now possible. This translates into the use of AI to provide contextual guidance to decision makers based on their previous preferences and previous patterns of decisions, making DSS results optimized (Phillips-Wren, Mora, Forgionne, Gupta, 2009). eferences AnHai Doan, & Alon Y Halevy. (2005). Semantic-Integration esearch in the Database Community: A Brief Survey. AI Magazine, 26(1), 83-94. Fortuna, C., & Mohorcic, M.. (2009). Trends in the development of communication networks: Cognitive networks. Computer Networks, 53(9), 1354. Phillips-Wren, G., Mora, M., Forgionne, G., & Gupta, J.. (2009). An integrative evaluation framework for intelligent decision support systems. European Journal of….

AnHai Doan, & Alon Y Halevy. (2005). Semantic-Integration Research in the Database Community: A Brief Survey. AI Magazine, 26(1), 83-94.

Fortuna, C., & Mohorcic, M.. (2009). Trends in the development of communication networks: Cognitive networks. Computer Networks, 53(9), 1354.

Phillips-Wren, G., Mora, M., Forgionne, G., & Gupta, J.. (2009). An integrative evaluation framework for intelligent decision support systems. European Journal of Operational Research, 195(3), 642.

Pinto, F., Marques, A., & Santos, M.. (2009). Ontology-supported database marketing. Journal of Database Marketing & Customer Strategy Management, 16(2), 76-91.

Artificial Intelligence Bill of Rights This Essay

Artificial Intelligence Bill of ights This essay argues that the artificially intelligent (AI), non-biological machines correctly should have been granted legal status and personhood, and as such, were entitled to a Bill of ights for their equal protection under the law. Passage of the AI Bill of ights in 2015 represented a landmark victory in the history of civil rights. AIs had not been always recognized as legal persons. In fact, the notion that a machine could be considered a person generated controversy when it was initially proposed. It was only in the early 2000s that a movement began to remove the artificial distinction between human, person, and property. Calverley (2005) laid the ground work for this radical change when he established a legal basis for non-biological machines to become legal persons. He analyzed the doctrine of intentionality, arguing that if a non-biological machine can form an intention and can act intentionally….

Reference List

Calverley, D. JD. 2005. Additional Thoughts Concerning the Legal Status of a Non-biological Machine. Retrieved on March 31, 2011 from http://www.aaai.org/Papers/Symposia/Fall/2005/FS-05-06/FS05-06-005.pdf

Kash, J. (n.d.). The Bill of Rights Explained. Retrieved on March 31, 2001 from http://mrkash.com/activities/billofrightsexplained.html

Artificial Intelligence and Humanity Artificial

Looking at other possibilities, however, the idea of creating a part organic, part mechanical computer holds much promise in the way for developing a human-like AI technology. Human brain processes ad functions that are unique to humans are many, and while every person has different life experiences, perceptions, genetics, and understandings, it is very difficult to understand exactly how they all incorporate themselves into everyday human life and decision-making. Organic growth technologies would give current AI technologies a hybrid of organic functions as well as mechanical or digital functions (Floreano and Mattiussi, 2008). This is to say that organic computing allows the human brain to grow and learn from experiences as well as store memories wile culling the least used and least useful information. This helps make room for new learning as well as serving to de-clutter the brain itself (Wallach, Franklin, and Allen, 2010). Even these most basic processes….

Bostrom, N. (2009). "Ethical Issues in Advanced Artificial Intelligence." In Science

fiction and philosophy: from time travel to superintelligence. By Susan Schneider.

Wiley-Blackwell: Malden, MA. Pp. 277-284.

Ekbia, H.R. (2008). Artificial dreams: the quest for non-biological intelligence.

Artificial Intelligence Mccarthy 2007 States

ibliography Daniel Dennett (1998) rainchildren: Essays on Designing Minds. MIT Press, 1998. Arthur R. Jensen (1998) Does IQ matter? Commentary, pages 20-21, November 1998. John McCarthy (1959) Programs with Common Sense in Mechanisation of Thought Processes, Proceedings of the Symposium of the National Physics Laboratory, pages 77-84, London, U.K., 1959. Her Majesty's Stationery Office. John McCarthy (1989) Artificial Intelligence, Logic and Formalizing Common Sense. In Richmond Thomason, editor, Philosophical Logic and Artificial Intelligence. Kluver Ac John McCarthy (1990) Formalizing Common Sense: Papers by John McCarthy. Ablex Publishing Corporation, 1990. John McCarthy (1996) Defending AI research: a collection of essays and reviews. CSLI lecture notes: no. 49. Center for the Study of Language and Information, 1996. A distributed by Cambridge University Press. John McCarthy (1996) Concepts of Logical AI, 1996 Tom Mitchell (1997) Machine Learning McGraw-Hill, 1997. Murray Shanahan (1997) Solving the Frame Problem, a mathematical investigation of the common sense law of inertia. M.I.T. Press, 1997. Richmond Thomason (2003) Logic and artificial intelligence. In….

Bibliography

Daniel Dennett (1998) Brainchildren: Essays on Designing Minds. MIT Press, 1998.

Arthur R. Jensen (1998) Does IQ matter? Commentary, pages 20-21, November 1998.

John McCarthy (1959) Programs with Common Sense in Mechanisation of Thought Processes, Proceedings of the Symposium of the National Physics Laboratory, pages 77-84, London, U.K., 1959. Her Majesty's Stationery Office.

John McCarthy (1989) Artificial Intelligence, Logic and Formalizing Common Sense.

Artificial Intelligence Applications in Business

Artificial Intelligence Applications in Business AI or artificial intelligence represents the part of the computer science field that deals with creation of machines, which can simulate human intelligence. Intelligent and optimal approaches to problem-solving are needed today in all sectors, irrespective of whether the issue is straightforward or complex. Developers and research scholars are constantly attempting to create increasingly more intelligent and efficient software and machines, and here's where AI plays a part, in the development of optimal and efficient search algorithm solutions/programs (Tabassum & Mathew, 2014). Expert systems Individuals are valuable in the business domain, as they carry out important business-related tasks. A number of business tasks necessitate expertise, which is typically found in an individual's brain; also, this is the lone place in a company where it may be obtained. AI is able to offer organizations expert systems having the ability to capture expertise, thereby enabling its utilization by individuals who….

Bazghandi, A. (2012). Techniques, advantages and problems of agent-based modeling for traffic simulation. Int J Comput Sci, 9(1), 115-119.

Castle, C. J., & Crooks, A. T. (2006). Principles and concepts of agent-based modelling for developing geospatial simulations.

Chapter Four Outline (n.d.). Retrieved 3 April 2016 from http://www.mhlearningsolutions.com/columbia_southern/007138388/ch4.pdf

Hall, O. (2008). Artificial Intelligence Techniques Enhance Business Forecasts. Gradziado Business Report.

Artificial Intelligence Machine Sentience the

The bot is simply responding using patterns of human speech and is not producing its thoughts on its own. Artificial Intelligence will require original thought from the computer, as well as some sort of emotional response or desire to gain more information. It may be said that in the future even more advanced chatbots are going to be invented, ones that will be completely foolproof. Even these, however, will not provide us with enough evidence of intelligence or consciousness. Fooling human beings into thinking that the AI is intelligent is only part of proving its intelligence. The more important aspects are found in the careful studying of the artificial intelligence's behavior in order to find patterns that show an increasingly intelligence program as well as interaction with human beings that is prolonged and intelligent. In conclusion, artificial intelligence and machine thinking is on the horizon, and will reshape the way….

Hayden, Ben. (2011, November 3). How Much Progress has Artificial Intelligence Made?. Retrieved from, http://www.psychologytoday.com/blog/the-decision-tree/201111/how-much-progress-has-artificial-intelligence-made

Lohr, Steve. (2012, October, 30). IBM's Watson Goes to Med School. Retrieved from, http://bits.blogs.nytimes.com/2012/10/30/i-b-m-s-watson-goes-to-medical-school/?ref=artificialintelligence .

Universitat Bonn (2012, October 30). New soccer robot has human-like agility. Retrieved from, http://www.sciencedaily.com/releases/2012/10/121030142800.htm .

Artificial Intelligence Its Role in the Nigerian Legal System

The Role of Artificial Intelligence in the Nigerian Legal SystemIntroductionThe world is undergoing major changes due to the Fourth Industrial Revolution. Artificial Intelligence (AI) has been a critical driver of the major changes. AI has introduced the innovative adoption of deep learning and machine learning algorithms that have affected several industries. AI has been of major significance in the legal sector and has been considered a tool that may ease lawyers' bulk work. However, in Nigeria, the idea of AI has not been fully accepted in the legal industry. Nigerian's conservative nature has been a deterring factor to innovation. AI has been perceived as an innovation that contributes to unemployment and destabilizes the status quo. This paper aims at offering a pragmatic and legal perspective of AI in Nigeria. The focus will be on identifying the place of Artificial Intelligence (AI)) in the Nigerian Legal System and the potential effects….

\\\\\\'LawPavilion set to release Nigeria\\\\\\'s first Artificial Intelligence Legal Assistant\\\\\\' (Vanguard News, August 23, 2018) https://www.vanguardngr.com/2018/08/lawpavilion-set-to-release-nigerias-first-artificial-intelligence-legal-assistant/

Achin (2020). What Is Artificial Intelligence | Artificial Intelligence Wiki. Data Robot. Retrieved January 29, 2020, from https://www.datarobot.com/wiki/artificial-intelligence/

Adamolekun, D. (2020). COVID-19 and the Nigerian justice sector: A case for virtual dispute resolution retrieved on https://www.thecable.ng/covid-19-and-the-nigerian-justice-sector-a-case-for-virtual-dispute-resolution

Adeyoju, A. (2018). Artificial Intelligence and the Future of Law Practice in Africa. Available at SSRN 3301937.

Artificial Intelligence AI

information systems risk, threats and related methods of risk mitigation. Specifically, we will examine systems based upon artificial intelligence (AI), including those for managing component content as well as document management. We will also consider newer systems designed to provide protection in emerging technology areas such as the internet, mobile communications and social networks, each of which presents unique challenges and threats requiring novel responses and methods of intervention. In the Enterprise Information Management Institute (EIMI) model, managing information security involves the safeguarding of several key aspects of information assets against risk, namely confidentiality, privacy, and competitive advantage (EIMI, 2007). Information assets commonly occur in the form of documents, messages, images, maps, multimedia binaries, or other formats. The Committee on National Security Systems (CNSS) identifies the concept of Information Assurance (IA) isk Management, along with a holistic view and framework for national security inclusive of methods, processes and tools. The CNSS….

Bhattacharjee, P., Koner, C., Bhunia, C., & Ujjwal, M. (2010). Artificial Intelligence-Based Mutual Authentication Technique with Biometric Entities in 3-G Mobile Communications. International Journal of Computer Theory and Engineering, 2(2), 205-210.

Gold, S. (2009). Infosecurity (USA) - AI superbots threaten information security. Retrieved September 9, 2011, from http://www.infosecurity-us.com/view/2519/ai-superbots-threaten-information-security/

Grimes, J. (2009, February). Information Assurance Risk Management Policy For National Security Systems. Committee on National Security Systems. Retrieved from http://www.cnss.gov/Assets/pdf/CNSSP-22.pdf

Hentea, M. (2007). Intelligent System for Information Security Management: Architecture and Design Issues. Information and Beyond: Part I, 4, 29.

Artificial Intelligence and the Film Ex Machina

Ex Machina and the Fears Surrounding the Implementation of AI Technology The 2015 film Ex-Machina, written and directed by Alex Garland is a futuristic/dystopian film that is set "ten minutes from now" according to the director. What he meant was that the technology to create lifelike AI is at hand and no one would be too surprised to find out that Google or Apple had already taken the next steps in this direction. However, as the film shows, there are a number of fears and problems associated with the concept of artificial intelligence getting out of control or taking on a life of its own (through the development of consciousness). In effect, Ava the AI robot in Ex-Machina becomes like Frankenstein's monster, seeking to grasp the notion of existence and life and to be the one who decides whether she lives or dies (is shutdown and rebooted or allowed to escape….

Garland, Alex (dir). Ex-Machina. LA: Universal, 2015. Film.

Khatchadurian, Raffi. "The Doomsday Invention," The New Yorker, 23 Nov 2015. Web.

9 Dec 2015.

Thompson, Clive. Smarter Than You Think: How Technology is Changing Our Minds

Artificial Intelligence and Human Systems Decision Making

Should Artificial Intelligence (AI) Take Over the Decision-Making Process? Artificial intelligence (AI) is increasingly being used in sensitive areas such as healthcare, the criminal justice system, and hiring processes. Courts today use AI systems to assess offenders’ risk of recidivism and the likelihood of flight for offenders awaiting trial. One such algorithm is the Arnold Foundation algorithm, which uses 1.5 million criminal cases to predict defendant’s behaviors during pretrial hearings (Zavrsnik, 2020). With such advancements, there is a growing debate on whether AI should fully replace human decision-making due to its ability to eliminate human bias. Sources have shown that contrary to popular belief, AI decisions are not always less biased than human systems. For instance, a 2016 investigation by ProPublica showed that data–driven AI used by courts to assess the risk of recidivism was biased against minorities and people of color (Silberg & Manyika, 2019). In the UK, a computer….

Artificial Intelligence In Journalism

Introduction In today's fast-paced digital world, the integration of Artificial Intelligence (AI) has revolutionized many industries, including journalism. AI technology has significantly transformed the way news is gathered, analyzed, and disseminated, ultimately changing the landscape of journalism. AI has enabled journalists to sift through vast amounts of data quickly and efficiently, allowing them to uncover trends, patterns, and insights that would have been impossible to detect manually. Algorithms can now scan through social media platforms, news articles, and other sources to identify relevant stories and even predict future events. One of the key benefits of AI in journalism is its ability to assist in fact-checking and verification. AI-powered tools can detect fake news and misinformation, helping journalists maintain the integrity and credibility of their reporting. Another area where AI has made a significant impact is in personalized content delivery. By analyzing user behavior and preferences, AI algorithms can deliver tailored news content to individual….

Need Help with Essay Topics on Cybersecuirty

1. The Role of Artificial Intelligence in Enhancing Cybersecurity Measures 2. Ethical Hacking: Balancing Privacy and Security in the Digital Age 3. The Implications of Cybersecurity Breaches on National Security 4. Cybersecurity Threats and Challenges in the Healthcare Industry 5. The Impact of Cybercrime on Small Businesses and Ways to Mitigate Risks 6. Cybersecurity and the Internet of Things: Risks and Solutions 7. The Role of Government and Law Enforcement Agencies in Preventing Cybercrimes 8. Cybersecurity in the Age of Remote Work: Challenges and Best Practices 9. Cybersecurity Awareness and Education: Filling the Gap in Digital Literacy 10. Cybersecurity Regulations and Compliance: Balancing Security and Innovation ....

Need Help with Essay Topics on health it data governance

1. The importance of data governance in healthcare IT systems. 2. The role of data governance in ensuring patient privacy and confidentiality in health IT. 3. Challenges and solutions in implementing effective data governance strategies in healthcare organizations. 4. The impact of data governance on improving healthcare outcomes and patient care. 5. The role of data governance in ensuring data quality and integrity in health IT systems. 6. Ethical considerations in data governance for health IT data. 7. The role of data governance in facilitating interoperability and data sharing in healthcare. 8. The impact of data governance on healthcare analytics and predictive modeling. 9. Strategies for building a....

I need some suggestions for science essay topics. Can you offer any?

Certainly! Here are some science essay topic suggestions: 1. The impact of climate change on the environment. 2. The role of renewable energy sources in reducing carbon emissions. 3. Exploring the potential health benefits of genetic engineering. 4. The effects of plastic pollution on marine life and ecosystems. 5. The future of space exploration and its potential for human colonization. 6. The ethical considerations of using animal testing in medical research. 7. The development and implications of artificial intelligence in various fields. 8. The challenges and benefits of using nanotechnology in medicine. 9. Exploring the effects of deforestation on biodiversity and climate change. 10. The impact of technology on human....

I\'m not very familiar with outline. Could you suggest some essay topics to help me learn more?

Of course! Here are some essay topics that can help you practice writing an outline: 1. The effects of social media on modern society 2. The importance of mental health awareness 3. The impact of climate change on the environment 4. The role of technology in education 5. The benefits and drawbacks of remote work 6. The history of immigration in the United States 7. The significance of voting in a democracy 8. The rise of online shopping and its effects on traditional retail 9. The portrayal of women in the media 10. The challenges and opportunities of globalization Feel free to choose any of these topics to create an outline....

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Artificial Intelligence Essay Topics

AI and Human Knowledge.
Computer Vision.
Future of Simulated Intelligence Innovation.
Machine Learning.
AI in Day-to-Day Existence.
Impact of Profound Learning.
Natural Language Handling.
Threats in Advanced Mechanics.
Reinforcement Learning.
Ethics of Computerized Reasoning.

Fascinating Artificial Intelligence Topics for Essays

Exploring the Effect of Computerized Reasoning: Expectation vs. Judgment
Maintaining Venture Organizations in Computerized Man-Made Consciousness Arranging
The Impacts Computerized Reasoning Has Had on Society and on Business
What Job Will Artificial Brainpower Play in Human Issues the in the Next Decade?
How Computerized Reasoning and AI Can Effect Market Plan
The Utilization of Computerized Reasoning in the Present Mechanical Gadgets
The Connection of Man-Made Consciousness and the Innovation of Cutting Edge Pcs and Programming Dialects
How Man-Made Consciousness Will Influence Virtual Entertainment Checking
Artificial Insight and Brain Organization: the Eventual Fate of Figuring and Pc Programming
The Establishments and History of Artificial Consciousness
Comment on Forecast, Judgment, and Intricacy: A Hypothesis of Direction and Man-Made Reasoning
Artificial Knowledge and Regulation: A Survey of the Job of Rightness in the Overall Information Security Guideline Structure
Artificial Insight: Contrasted with the Human Brain’s Ability for Thinking and Learning
A Correlation between Two Prescient Models of Artificial Brainpower
Artificial Knowledge as a Positive and Negative Figure Worldwide Gamble
Search Applications, Java, and Intricacy of Emblematic Artificial Consciousness
Integrating Moral Qualities and Monetary Worth to Direct Advance in Man-Made Reasoning
Computational Displaying of an Economy Utilizing Components of Artificial Brainpower
The Development of Artificial Reasoning and Its Significance to the Framework
The Effect of Artificial Reasoning on Advancement

Great AI Essay Titles

The Possible Adverse Consequence of Computerized Reasoning from Here on Out
An Outline of the Standards of Artificial Consciousness and the Perspectives on Noam Chomsky
How Man-Made Consciousness Innovation Can Be Utilized to Treat Diabetes
Artificial Knowledge and the UK Work Market: Questions, Strategies and a Require a Precise Way to Deal with Data Social Event
An Outline of Artificial Brainpower and Its Future Weakness to Our innovative Society
Artificial Knowledge and AI Applications in Brilliant Creation: Progress, Patterns, and Headings
Comparing the Various Perspectives of John Searle and Alan Turing in the Discussion on Man-Made Brainpower (Simulated Intelligence)
An Examination of Mental Capacity and Data Handling in Artificial Consciousness
Improvisation of Automated Flying Vehicles Utilizing Computerized Reasoning
Artificial Insight and Its Suggestions for Money Dissemination and Joblessness
The Use of Computerized Reasoning Progressively Procedure Games
Advancement in Innovation Can Sometime Carry Computerized Reasoning to the Real World
Artificial Insight-Based Blockage Control Instrument Through Bayesian Organizations Under Crafty
Artificial Knowledge Is Lost in the Forest, a Cognizant Brain Will not Ever Be Worked Out of Programming
An Examination of the Idea of Artificial Consciousness According to Business
The Various Issues Concerning the Formation of Artificial Brainpower
Traditional Philosophical Issues Encompassing Enlistment Connecting with Artificial Brainpower
The Significance of Peculiarity and Artificial Reasoning to Individuals
Man-Machine Cooperation and the Ascent of Artificial Brainpower

Artificial Intelligence Research Questions

What Are the Moral Difficulties for Organizations Working in Artificial Consciousness?
Will Artificial Consciousness Retrogressively Affect Our General Public?
Why Would Artificial Consciousness Overwhelm What’s to Come?
Will Artificial Reasoning Overwhelm People?
How Does Artificial Reasoning Influence the Retail Business?
What Could Artificial Brainpower at Any Point Offer Coral Reef Chiefs?
Will Artificial Brainpower Supplant Computational Financial Analysts Any Time Soon?
How Can Artificial Consciousness and AI Effect Market Plan?
Can Artificial Reasoning Lead to a More Maintainable Society?
Will Artificial Reasoning Supplant People at Work?
How Could Artificial Brainpower at Any Point Help Us?
What Job Will Man-Made Brainpower Play in Human Undertakings in the Following Two Years?
How Will Computerized Reasoning Influence the Work Business Later on?
Can Computerized Reasoning Become More Intelligent Than People?
How Could You Characterize Artificial Consciousness?
Should Artificial Consciousness Have Basic Freedoms?
How Do Man-Made Consciousness and Siri Work Concerning Language?
What Are the Effects of Man-Made Brainpower on Imaginative Businesses?
How Could Artificial Reasoning at Any Point Assist Us with Grasping Human Inventiveness?
When Will Computerized Reasoning Loss Human Knowledge?
How Could Computerized Reasoning Innovation at Any Point Be Utilized to Treat Diabetes?
Will Artificial Consciousness Supplant Humankind?
How Will Artificial Consciousness Influence Web-Based Entertainment Checking?
Can Artificial Consciousness Significantly Influence How Organizations Select, Train, Create, and Oversee Hr in a Working Environment?
How Does Mary Shelley’s Portrayal Show the Dangers of Computerized Reasoning?
Why Must Artificial Brainpower Be Directed?
Will Artificial Reasoning Gadgets Become Human’s Dearest Companion?
Does Artificial Reasoning Exist?
Can Artificial Reasoning Be Perilous?
Why Do We Want Artificial Brainpower?

Good Research Topics About Hypnosis

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36 Artificial Intelligence Essay Topics

What you need to know about AI (artificial intelligence) before you start your essay:

AI is a form of technology that simulates human intelligence to complete certain tasks, allowing machines to execute tasks such as speech recognition, machine learning, natural language processing, etc. AI writing is the use of AI-powered software and systems to generate written content, such as articles, blog posts, and webpages.

AI-enabled writing tools can help to reduce time needed to create new pieces of content, as well as provide more accurate writing.

AI requires large amounts of data to train and can present both ethical and legal challenges, so it is important to consider these before using AI to write.

AI writing is still in its early stages, but as technology improves, it has potential to produce high-quality written content that is both creative and accurate.

The potential of AI in the field of writing is vast, from providing assistance to full automation, allowing for more efficient workflows and increased creativity

It is important to keep in mind that AI has limitations and that the quality of content created with AI is dependent on the data and algorithms used.

What are good artificial intelligence topics for an essay?

What would you say if you could have a conversation with a computer?
How can artificial intelligence be used to solve real-world problems?
If a robot could write a story, what kind of story would it write?
What kind of tasks could AI machines be used for in the future?
How does machine learning influence our current society?
How can AI be used to improve healthcare?
What challenges and opportunities does AI present for the future of work?
What implications does artificial intelligence have on privacy and ethical issues?
How can artificial intelligence be used to reduce bias and increase diversity?
What potential risks exist from using AI and machine learning technologies?
How can artificial intelligence be used to automate mundane tasks?
What would it look like to create a society run by AI?
What is the current state of AI technology and its potential applications?
What ethical issues should be considered when using AI?
What are potential risks of using AI-powered systems?
How will AI change the way we work in the future?
How can artificial intelligence be used in education?
How is AI impacting the legal and financial industries?
Should AI systems be programmed to have moral or ethical values?
What is the potential for AI-based automation in the workplace?
What roles will AI and robotics play in our society in the future?
How does AI help us address complex global challenges?
Should AI be regulated to protect personal data and privacy?
What are the economic benefits and negatives of using AI?
What are the most promising uses of AI in healthcare?
How will AI help us predict and prevent natural disasters?
What new skills will be needed as we continue to increasingly rely on AI?
What are the potential long-term effects of using AI?
What could be the implications of using AI to automate decision-making?
What impact will developing AI systems have on job security and unemployment?
How can AI be used to protect endangered species?
What are the benefits of using AI for real-time surveillance and data analysis?
What are the key elements of a successful research and development program for AI?
How could AI be used to create more efficient internal operations in business?
What measures can be taken to ensure AI systems are secure and free from hacking?
How can AI be used to improve customer experience and create more personalized service?

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Artificial Intelligence Essay

Essay on Artificial Intelligence

Artificial Intelligence is the intelligence possessed by the machines under which they can perform various functions with human help. With the help of A.I, machines will be able to learn, solve problems, plan things, think, etc. Artificial Intelligence, for example, is the simulation of human intelligence by machines. In the field of technology, Artificial Intelligence is evolving rapidly day by day and it is believed that in the near future, artificial intelligence is going to change human life very drastically and will most probably end all the crises of the world by sorting out the major problems.

Our life in this modern age depends largely on computers. It is almost impossible to think about life without computers. We need computers in everything that we use in our daily lives. So it becomes very important to make computers intelligent so that our lives become easy. Artificial Intelligence is the theory and development of computers, which imitates the human intelligence and senses, such as visual perception, speech recognition, decision-making, and translation between languages. Artificial Intelligence has brought a revolution in the world of technology.

Artificial Intelligence Applications

AI is widely used in the field of healthcare. Companies are attempting to develop technologies that will allow for rapid diagnosis. Artificial Intelligence would be able to operate on patients without the need for human oversight. Surgical procedures based on technology are already being performed.

Artificial Intelligence would save a lot of our time. The use of robots would decrease human labour. For example, in industries robots are used which have saved a lot of human effort and time.

In the field of education, AI has the potential to be very effective. It can bring innovative ways of teaching students with the help of which students will be able to learn the concepts better.

Artificial intelligence is the future of innovative technology as we can use it in many fields. For example, it can be used in the Military sector, Industrial sector, Automobiles, etc. In the coming years, we will be able to see more applications of AI as this technology is evolving day by day.

Marketing: Artificial Intelligence provides a deep knowledge of consumers and potential clients to the marketers by enabling them to deliver information at the right time. Through AI solutions, the marketers can refine their campaigns and strategies.

Agriculture: AI technology can be used to detect diseases in plants, pests, and poor plant nutrition. With the help of AI, farmers can analyze the weather conditions, temperature, water usage, and condition of the soil.

Banking: Fraudulent activities can be detected through AI solutions. AI bots, digital payment advisers can create a high quality of service.

Health Care: Artificial Intelligence can surpass human cognition in the analysis, diagnosis, and complication of complicated medical data.

History of Artificial Intelligence

Artificial Intelligence may seem to be a new technology but if we do a bit of research, we will find that it has roots deep in the past. In Greek Mythology, it is said that the concepts of AI were used.

The model of Artificial neurons was first brought forward in 1943 by Warren McCulloch and Walter Pits. After seven years, in 1950, a research paper related to AI was published by Alan Turing which was titled 'Computer Machinery and Intelligence. The term Artificial Intelligence was first coined in 1956 by John McCarthy, who is known as the father of Artificial Intelligence.

To conclude, we can say that Artificial Intelligence will be the future of the world. As per the experts, we won't be able to separate ourselves from this technology as it would become an integral part of our lives shortly. AI would change the way we live in this world. This technology would prove to be revolutionary because it will change our lives for good.

Branches of Artificial Intelligence:

Knowledge Engineering

Machines Learning

Natural Language Processing

Types of Artificial Intelligence

Artificial Intelligence is categorized in two types based on capabilities and functionalities.

Artificial Intelligence Type-1

Artificial intelligence type-2.

Narrow AI (weak AI): This is designed to perform a specific task with intelligence. It is termed as weak AI because it cannot perform beyond its limitations. It is trained to do a specific task. Some examples of Narrow AI are facial recognition (Siri in Apple phones), speech, and image recognition. IBM’s Watson supercomputer, self-driving cars, playing chess, and solving equations are also some of the examples of weak AI.

General AI (AGI or strong AI): This system can perform nearly every cognitive task as efficiently as humans can do. The main characteristic of general AI is to make a system that can think like a human on its own. This is a long-term goal of many researchers to create such machines.

Super AI: Super AI is a type of intelligence of systems in which machines can surpass human intelligence and can perform any cognitive task better than humans. The main features of strong AI would be the ability to think, reason, solve puzzles, make judgments, plan and communicate on its own. The creation of strong AI might be the biggest revolution in human history.

Reactive Machines: These machines are the basic types of AI. Such AI systems focus only on current situations and react as per the best possible action. They do not store memories for future actions. IBM’s deep blue system and Google’s Alpha go are the examples of reactive machines.

Limited Memory: These machines can store data or past memories for a short period of time. Examples are self-driving cars. They can store information to navigate the road, speed, and distance of nearby cars.

Theory of Mind: These systems understand emotions, beliefs, and requirements like humans. These kinds of machines are still not invented and it’s a long-term goal for the researchers to create one.

Self-Awareness: Self-awareness AI is the future of artificial intelligence. These machines can outsmart the humans. If these machines are invented then it can bring a revolution in human society.

Artificial Intelligence will bring a huge revolution in the history of mankind. Human civilization will flourish by amplifying human intelligence with artificial intelligence, as long as we manage to keep the technology beneficial.

FAQs on Artificial Intelligence Essay

1. What is Artificial Intelligence?

Artificial Intelligence is a branch of computer science that emphasizes the development of intelligent machines that would think and work like humans.

2. How is Artificial Intelligence Categorised?

Artificial Intelligence is categorized in two types based on capabilities and functionalities. Based on capabilities, AI includes Narrow AI (weak AI), General AI, and super AI. Based on functionalities, AI includes Relative Machines, limited memory, theory of mind, self-awareness.

3. How Does AI Help in Marketing?

AI helps marketers to strategize their marketing campaigns and keep data of their prospective clients and consumers.

4. Give an Example of a Relative Machine?

IBM’s deep blue system and Google’s Alpha go are examples of reactive machines.

5. How can Artificial Intelligence help us?

Artificial Intelligence can help us in many ways. It is already helping us in some cases. For example, if we think about the robots used in a factory, they all run on the principle of Artificial Intelligence. In the automobile sector, some vehicles have been invented that don't need any humans to drive them, they are self-driving. The search engines these days are also AI-powered. There are many other uses of Artificial Intelligence as well.

65+ Topics In Artificial Intelligence: A Comprehensive Guide To The Field

Jane Ng • 24 Jul 2023 • 6 min read

Welcome to the world of AI. Are you ready to dive into the 65+ best topics in artificial intelligenc e and make an impact with your research, presentations, essay, or thought-provoking debates?

In this blog post, we present a curated list of cutting-edge topics in AI that are perfect for exploration. From the ethical implications of AI algorithms to the future of AI in healthcare and the societal impact of autonomous vehicles, this “topics in artificial intelligence” collection will equip you with exciting ideas to captivate your audience and navigate the forefront of AI research.

Artificial intelligence research topics, artificial intelligence topics for presentation, ai projects for the final year, artificial intelligence seminar topics, artificial intelligence debate topics, artificial intelligence essay topics, interesting topics in artificial intelligence.

Key Takeaways

FAQs About Topics In Artificial Intelligence

Here are topics in artificial intelligence that cover various subfields and emerging areas:

AI in Healthcare: Applications of AI in medical diagnosis, treatment recommendation, and healthcare management.
AI in Drug Discovery : Applying AI methods to accelerate the process of drug discovery, including target identification and drug candidate screening.
Transfer Learning: Research methods to transfer knowledge learned from one task or domain to improve performance on another.
Ethical Considerations in AI: Examining the ethical implications and challenges associated with the deployment of AI systems.
Natural Language Processing: Developing AI models for language understanding, sentiment analysis, and language generation.
Fairness and Bias in AI: Examining approaches to mitigate biases and ensure fairness in AI decision-making processes.
AI applications to address societal challenges.
Multimodal Learning: Exploring techniques for integrating and learning from multiple modalities, such as text, images, and audio.
Deep Learning Architectures: Advancements in neural network architectures, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Here are topics in artificial intelligence suitable for presentations:

Deepfake Technology: Discussing the ethical and societal consequences of AI-generated synthetic media and its potential for misinformation and manipulation.
Cybersecurity: Presenting the applications of AI in detecting and mitigating cybersecurity threats and attacks.
AI in Game Development: Discuss how AI algorithms are used to create intelligent and lifelike behaviors in video games.
AI for Personalized Learning: Presenting how AI can personalize educational experiences, adapt content, and provide intelligent tutoring.
Smart Cities: Discuss how AI can optimize urban planning, transportation systems, energy consumption, and waste management in cities.
Social Media Analysis: Utilizing AI techniques for sentiment analysis, content recommendation, and user behavior modeling in social media platforms.
Personalized Marketing: Presenting how AI-driven approaches improve targeted advertising, customer segmentation, and campaign optimization.
AI and Data Ownership: Highlighting the debates around the ownership, control, and access to data used by AI systems and the implications for privacy and data rights.

AI-Powered Chatbot for Customer Support: Building a chatbot that uses natural language processing and machine learning to provide customer support in a specific domain or industry.
AI-Powered Virtual Personal Assistant: A virtual assistant that uses natural language processing and machine learning to perform tasks, answer questions, and provide recommendations.
Emotion Recognition : An AI system that can accurately recognize and interpret human emotions from facial expressions or speech.
AI-Based Financial Market Prediction: Creating an AI system that analyzes financial data and market trends to predict stock prices or market movements.
Traffic Flow Optimization: Developing an AI system that analyzes real-time traffic data to optimize traffic signal timings and improve traffic flow in urban areas.
Virtual Fashion Stylist: An AI-powered virtual stylist that provides personalized fashion recommendations and assists users in selecting outfits.

Here are the topics in artificial intelligence for the seminar:

How Can Artificial Intelligence Assist in Natural Disaster Prediction and Management?
AI in Healthcare: Applications of artificial intelligence in medical diagnosis, treatment recommendation, and patient care.
Ethical Implications of AI: Examining the ethical considerations and responsible development of AI Systems.
AI in Autonomous Vehicles: The role of AI in self-driving cars, including perception, decision-making, and safety.
AI in Agriculture: Discussing AI applications in precision farming, crop monitoring, and yield prediction.
How Can Artificial Intelligence Help Detect and Prevent Cybersecurity Attacks?
Can Artificial Intelligence Assist in Addressing Climate Change Challenges?
How Does Artificial Intelligence Impact Employment and the Future of Work?
What Ethical Concerns Arise with the Use of Artificial Intelligence in Autonomous Weapons?

Here are topics in artificial intelligence that can generate thought-provoking discussions and allow participants to critically analyze different perspectives on the subject.

Can AI ever truly understand and possess consciousness?
Can Artificial Intelligence Algorithms be Unbiased and Fair in Decision-Making?
Is it ethical to use AI for facial recognition and surveillance?
Can AI effectively replicate human creativity and artistic expression?
Does AI pose a threat to job security and the future of employment?
Should there be legal liability for AI errors or accidents caused by autonomous systems?
Is it ethical to use AI for social media manipulation and personalized advertising?
Should there be a universal code of ethics for AI developers and researchers?
Should there be strict regulations on the development and deployment of AI technologies?
Is artificial general intelligence (AGI) a realistic possibility in the near future?
Should AI algorithms be transparent and explainable in their decision-making processes?
Does AI have the potential to solve global challenges, such as climate change and poverty?
Does AI have the potential to surpass human intelligence, and if so, what are the implications?
Should AI be used for predictive policing and law enforcement decision-making?

Here are 30 essay topics in artificial intelligence:

AI and the Future of Work: Reshaping Industries and Skills
AI and Human Creativity: Companions or Competitors?
AI in Agriculture: Transforming Farming Practices for Sustainable Food Production
Artificial Intelligence in Financial Markets: Opportunities and Risks
The Impact of Artificial Intelligence on Employment and the Workforce
AI in Mental Health: Opportunities, Challenges, and Ethical Considerations
The Rise of Explainable AI: Necessity, Challenges, and Impacts
The Ethical Implications of AI-Based Humanoid Robots in Elderly Care
The Intersection of Artificial Intelligence and Cybersecurity: Challenges and Solutions
Artificial Intelligence and the Privacy Paradox: Balancing Innovation with Data Protection
The Future of Autonomous Vehicles and the Role of AI in Transportation

Here topics in artificial intelligence cover a broad spectrum of AI applications and research areas, providing ample opportunities for exploration, innovation, and further study.

What are the ethical considerations for using AI in educational assessments?
What are the potential biases and fairness concerns in AI algorithms for criminal sentencing?
Should AI algorithms be used to influence voting decisions or electoral processes?
Should AI models be used for predictive analysis in determining creditworthiness?
What are the challenges of integrating AI with augmented reality (AR) and virtual reality (VR)?
What are the challenges of deploying AI in developing countries?
What are the risks and benefits of AI in healthcare?
Is AI a solution or a hindrance to addressing social challenges?
How can we address the issue of algorithmic bias in AI systems?
What are the limitations of current deep learning models?
Can AI algorithms be completely unbiased and free from human bias?
How can AI contribute to wildlife conservation efforts?

Key Takeaways

The field of artificial intelligence encompasses a vast range of topics that continue to shape and redefine our world. In addition, AhaSlides offers a dynamic and engaging way to explore these topics. With AhaSlides, presenters can captivate their audience through interactive slide templates , live polls , quizzes , and other features allowing for real-time participation and feedback. By leveraging the power of AhaSlides, presenters can enhance their discussions on artificial intelligence and create memorable and impactful presentations.

As AI continues to evolve, the exploration of these topics becomes even more critical, and AhaSlides provides a platform for meaningful and interactive conversations in this exciting field.

What are the 8 types of artificial intelligence?

Here are some commonly recognized types of artificial intelligence:

Reactive Machines
Limited Memory AI
Theory of Mind AI
Self-Aware AI
Superintelligent AI
Artificial Superintelligence

What are the five big ideas in artificial intelligence?

The five big ideas in artificial intelligence, as outlined in the book “ Artificial Intelligence: A Modern Approach ” by Stuart Russell and Peter Norvig, are as follows:

Agents are AI systems that interact with and impact the world.
Uncertainty deals with incomplete information using probabilistic models.
Learning enables AI systems to improve performance through data and experience.
Reasoning involves logical inference to derive knowledge.
Perception involves interpreting sensory inputs like vision and language.

Are there 4 basic AI concepts?

The four fundamental concepts in artificial intelligence are problem-solving, knowledge representation, learning, and perception.

These concepts form the foundation for developing AI systems that can solve problems, store and reason with information, improve performance through learning, and interpret sensory inputs. They are essential in building intelligent systems and advancing the field of artificial intelligence.

Ref: Towards Data Science | Forbes | Thesis RUSH

A writer who wants to create practical and valuable content for the audience

How to Write an Essay on Artificial Intelligence Thoughtfully and Objectively

ChatGPT, which arrived on the scene at the tail end of the last year, was heralded as a revolution. However, it is just a new level of AI technology that has existed for some years and will continue to evolve and shape how we learn, communicate, and consume information. Its arrival, however, gave public discourse a much-needed push.

The popularity of AI discussion has been growing in pop culture along with the development of computer technology. Some of the most persistent fears and ethical questions were explored through media and films like "Terminator," "Ghost in the Shell," "Matrix," "AI," "I, Robot," and many others. It peaked at the turn of the Millennium, characterized by cyberpunk mainstream, but then gradually weaned off. The wide availability of personal computers (and later smartphones) probably demystified technology and calmed public anxiety about AI.

However, today we find ourselves on the next whorl of the spiral. We came full circle and ascended to a new level. It's high time we discussed AI and the challenges that the latest state of this technology presents us with. Since every self-respecting media has already published an essay on artificial intelligence from its leading columnist, you won't be starved for inspiration and ideas for your own piece. However, you must make your original argument when tasked with an essay on AI as an assignment.

In this post, we will give you advice on writing an argumentative essay to express your position, whether you tend to see the good or the bad of AI technology.

How to Write a Positive Argumentative Essay on Artificial Intelligence

Writing positively about anything new usually means going against the trend. When a technology, especially as significant and powerful as AI, arrives on the scene, the majority of people tend to err on the side of caution and see possible dangers as if through a magnifying glass. At the same time, potential benefits are often dismissed because the status quo is often perceived as the norm, something "good enough" that's being threatened by change.

For example, people took the idea of text-generating capabilities of AI and ran away with it, claiming that students will now have tireless free essay writers online in ChatGPT and the ilk, so they will no longer learn how to write themselves. This attitude takes a small fraction of students that see writing as a chore and use technology to cheat. It completely dismisses students who find writing a fulfilling way of self-expression and, overall, a rewarding activity. It also ignores the fact that even before AI tools, there were always plenty of cheap custom papers online for those willing to cheat this way. Even before that, there were always obliging classmates embarrassed for cash or helping a friend out of the goodness of their hearts.

Moreover, teachers and parents concerned with how students use AI tools underestimate human curiosity about novelty. AI is a new shiny toy – of course, young people will try to do everything they can with it.

Anyway, it's good to remember that everything new is met with enthusiasm by younger people and wariness and suspicion by older ones. To highlight this, you can mention in your essay that even writing itself was criticized by Socrates, who thought it would weaken human memory and corrupt knowledge. The wide availability of printed books was considered a threat to public morals. TV was supposed to dumb people down and damage their eyesight. Mobile phones were rumored to cause brain tumors (believe me, I've already been alive when this was still discussed seriously).

Contrasting these past moral panics with current situations will help you make a case in favor of artificial intelligence.

One more important argument to make is, of course, how AI can benefit everyone. People who fear or criticize it often aren't aware of how deeply AI is already woven into the fabric of our daily life. Spam email filtration, face ID, image recognition, content recommendations, Google search, voice assistance like Siri and Alexa, route mapping and traffic updates, location-specific weather forecast, improved online banking safety – all this and more is made possible thanks to AI.

Another prevalent fear is based on projected mass redundancies. People are afraid that AI will cause unemployment to soar since it will replace so many jobs previously performed by humans. Again, this is nothing new. History knows hundreds upon hundreds of occupations made obsolete by technology, yet people still manage to work themselves to death. For every position technology replaces, it creates one or two new job titles. AI needs training and maintenance, so people definitely won't be out of work any time soon. True, some redundancies will happen, but people will be able to retrain and find new, more fulfilling jobs.

You can use these arguments with some fresh examples relevant to your field as a basis for your essay in defense of AI. Make sure to stay objective and address your opponents thoughtfully and respectfully instead of mocking them for their reservations. In an affirmative and positive way, you will persuade more people.

How to Write an Essay on Disadvantages of Artificial Intelligence

Now, let's suppose you are wary of artificial intelligence and its impact on society and want your essay to be critical. This doesn't mean it has to be all doom and gloom essay on Artificial Intelligence: A Threat to Mankind TM. Instead, you should point out some harmful implications that must be addressed as soon as possible if we don't want to live out one of the dystopian scenarios.

You want to be critical but don't want to sound like a Luddite because you don't want to be dismissed easily. Your goal is to win people over on your side and open their eyes to some genuine dangers. Why it's important? Let me tell you a story.

If you are a traditional college student, you are too young to remember the panic around the "Year 2000 problem." In the years leading up to the Millennium, people became wary of the possible glitches and computer errors related to formatting and storage of data that used only two digits to represent the year. For example, they used 87 instead of 1987 because the first part of the date seemed redundant for most of the 20 th century. As things stood, potential confusion could arise after the year 2000. The glitches included babies born on January 1, 2000, being recorded as 100 years old, the bank systems failing to calculate payroll, prisons setting release dates for inmates in the last century, computers ceasing processing information, etc. All real cases, by the way.

Contrary to public apprehension, few significant errors occurred, and the world wasn't plunged into chaos. The apocalypse didn't happen. The Y2K scare became the butt of many jokes. However, the very reason for this relatively smooth transition was that people started thinking about the potential threats and coming up with solutions to mitigate the risks. The Y2K problem was timely fixed, yet it doesn't mean there never was any danger.

AI presents a similar challenge. It is a powerful technology that opens up many unexplored possibilities. It is our duty to explore all of the possible scenarios, even the grim ones. We must speculate about the eventual dangers to make sure they never come to fruition.

One of such dangers is AI's "creativity," aka the ability to generate new combinations of data and words based on things it has already learned. What was conceived as a beneficial and flexible feature in theory, in reality, can lead to fakes, lies, and spikes in conspiracy theories. For example, ChatGPT can generate believable quotes people never said, it can invent fictional studies, and create authoritatively sounding personalities that never existed. It often returns all this fiction to answer queries that ask for facts.

With things as they stand, a person receiving convincingly sounding fiction instead of facts has no way of knowing which is which unless they do due diligence and fact-check thoroughly. If I am any judge of human nature, few will do that.

This can lead to horrible consequences. QAnon, Reptilian conspiracy theory, Holocaust deniers, war crimes apologists – all this exists and multiplies in the echo chambers created by content recommendation algorithms. Imagine AI's impact on existing problems and the new ones it can start by confirming lies and fabricating evidence? Conspiracy theories don't exist just online. They spill out on the streets and cost lives.

We must address the core issues baked into AI and build mechanisms preventing the harmful effects it might cause.

Another thing to consider is people engaging with AI with criminal intent. Developers must come up with safety mechanisms that will prevent AI from being weaponized. AI can be used to intentionally deceive and mislead people by faking news, evidence, speeches, and even personalities. This is a threat both on a personal scale (for example, AI being used for catfishing) and at the national level (people rallying around a false and dangerous idea).

When you look at these negative possibilities, try to remain grounded and fall back on the facts. For example, cite cases when AI actually faked evidence and misattributed quotes. You need to show your readers that your concerns are valid and must be addressed as soon as possible.

How to Brainstorm Essay Topics on Artificial Intelligence

You can, of course, go to an AI of your choice and ask it to suggest some interesting topics for you. However, AI's offerings will most likely be based on what an average user finds interesting. If you want to brainstorm a unique topic, you should look closer to home. Ask yourself these questions:

What problems will AI help solve in your field of study?
How will AI change your life as a student?
Which perspectives will AI open in your future career?
What are some possible challenges AI might present for you as a professional?
How can creators of AI future-proof the technology against potential abuse by criminals and other bad actors?
What are some anxieties and fears you personally have about AI-powered technology? Where do these fears stem?

This will help you find the topic connected with realities you know well. Moreover, you will be intellectually and emotionally invested in this discussion because you will have stakes in the matter.

Here are some sample suggestions that you can take as they are or put your unique spin on them to communicate your personal perspective:

The Ethical Implications of Artificial Intelligence and Machine Learning
The Impact of AI on the Future of Work and Employment
The Benefits and Risks of AI for Healthcare and Medicine
The Emergence of Autonomous Vehicles and their Effects on Society
AI and Cybersecurity: How Machine Learning is Changing the Game
The Role of AI in Transforming Education and Learning
AI and Data Privacy: Balancing Innovation with Protection
Predictive Analytics and Big Data: How AI is Changing Business Decision-making
AI and Climate Change: Creating Sustainable Solutions for the Future
The Future of Humanity and AI: Opportunities and Challenges Ahead

Whichever argument you want to make in your essay about AI, don't forget to back up your claims with evidence, fact-check information you find online, stay objective, and be respectful to your opponents. Good luck and happy writing!

Jana Rooheart

Jana Rooheart came to WOWESSAYS™ with a mission to put together and then slice and dice our vast practical experience in crafting all kinds of academic papers. Jana is an aspired blogger with rich expertise in psychology, digital learning tools, and creative writing. In this blog, she willingly shares tricks of pencraft and mind-altering ideas about academic writing any student will find utterly beneficial.

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Essay on Future of Artificial Intelligence

Students are often asked to write an essay on Future of Artificial Intelligence in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Future of Artificial Intelligence

Introduction.

Artificial Intelligence (AI) is the science of making machines think and learn like humans. It’s an exciting field that’s rapidly changing our world.

Future Possibilities

In the future, AI could take over many jobs, making our lives easier. Robots could clean our houses, and AI could help doctors diagnose diseases.

Challenges Ahead

However, there are challenges. We need to make sure AI is used responsibly, and that it doesn’t take away too many jobs.

The future of AI is promising, but we need to navigate it carefully to ensure it benefits everyone.

250 Words Essay on Future of Artificial Intelligence

Artificial Intelligence (AI) has become an integral part of our daily lives, from smartphones to autonomous vehicles. The future of AI is a topic of intense debate and speculation among scientists, technologists, and futurists.

AI in Everyday Life

The future of AI holds promising advancements in everyday life. We can expect more sophisticated personal assistants, smarter home automation, and advanced healthcare systems. AI will continue to streamline our lives, making mundane tasks more efficient.

AI in Business

In business, AI will revolutionize industries by automating processes and creating new business models. Predictive analytics, customer service, and supply chain management will become more efficient and accurate. AI will also enable personalized marketing, enhancing customer experience and retention.

AI in Ethics and Society

However, the future of AI also poses ethical and societal challenges. Issues such as job displacement due to automation, privacy concerns, and the potential misuse of AI technologies need to be addressed. Ensuring fairness, transparency, and accountability in AI systems will be crucial.

In conclusion, the future of AI is a blend of immense potential and challenges. It will transform our lives and businesses, but also necessitates careful consideration of ethical and societal implications. As we move forward, it is essential to foster a global dialogue about the responsible use and governance of AI.

500 Words Essay on Future of Artificial Intelligence

Artificial Intelligence (AI) has transformed from a fringe scientific concept into a commonplace technology, permeating every aspect of our lives. As we stand on the precipice of the future, it becomes crucial to understand AI’s potential trajectory and the profound implications it might have on society.

The Evolution of AI

The future of AI is rooted in its evolution. Initially, AI was about rule-based systems, where machines were programmed to perform specific tasks. However, the advent of Machine Learning (ML) marked a significant shift. ML enabled machines to learn from data and improve their performance over time, leading to more sophisticated AI models.

The current focus is on developing General AI, machines that can perform any intellectual task that a human being can. While we are yet to achieve this, advancements in Deep Learning and Neural Networks are bringing us closer to this reality.

AI in the Future

In the future, AI is expected to become more autonomous and integrated into our daily lives. We will see AI systems that can not only understand and learn from their environment but also make complex decisions, solve problems, and even exhibit creativity.

One of the most promising areas is AI’s role in data analysis. As data continues to grow exponentially, AI will become indispensable in making sense of this information, leading to breakthroughs in fields like healthcare, climate change, and social sciences.

Implications and Challenges

However, the future of AI is not without its challenges. As AI systems become more autonomous, we must grapple with ethical issues. For instance, who is accountable if an AI system makes a mistake? How do we ensure that AI systems are fair and unbiased?

Moreover, as AI continues to automate tasks, there are concerns about job displacement. While AI will undoubtedly create new jobs, it will also render many existing jobs obsolete. Therefore, societies must prepare for this transition by investing in education and training.

The future of AI is a landscape of immense potential and challenges. As we continue to develop more sophisticated AI systems, we must also be mindful of the ethical implications and societal impacts. By doing so, we can harness the power of AI to create a future where technology serves humanity, rather than the other way around.

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What is artificial intelligence (AI)?

This exciting field of computer science focuses on technologies that mimic human intelligence — with AI systems becoming way more prevalent in recent years.

Artificial intelligence (AI) refers to any technology exhibiting some facets of human intelligence, and it has been a prominent field in computer science for decades. AI tasks can include anything from picking out objects in a visual scene to knowing how to frame a sentence, or even predicting stock price movements.

Scientists have been trying to build AI since the dawn of the computing era . The leading approach for much of the last century involved creating large databases of facts and rules and then getting logic-based computer programs to draw on these to make decisions. But this century has seen a shift, with new approaches that get computers to learn their own facts and rules by analyzing data. This has led to major advances in the field.

Over the past decade, machines have exhibited seemingly "superhuman" capabilities in everything from spotting breast cancer in medical images , to playing the devilishly tricky board games Chess and Go — and even predicting the structure of proteins .

Since the large language model (LLM) chatbot ChatGPT burst onto the scene late in 2022, there has also been a growing consensus that we could be on the cusp of replicating more general intelligence similar to that seen in humans — known as artificial general intelligence (AGI). "It really cannot be overemphasized how pivotal a shift this has been for the field," said Sara Hooker, head of Cohere For AI, a non-profit research lab created by the AI company Cohere.

How does AI work?

While scientists can take many approaches to building AI systems, machine learning is the most widely used today. This involves getting a computer to analyze data to identify patterns that can then be used to make predictions.

The learning process is governed by an algorithm — a sequence of instructions written by humans that tells the computer how to analyze data — and the output of this process is a statistical model encoding all the discovered patterns. This can then be fed with new data to generate predictions.

Many kinds of machine learning algorithms exist, but neural networks are among the most widely used today. These are collections of machine learning algorithms loosely modeled on the human brain , and they learn by adjusting the strength of the connections between the network of "artificial neurons" as they trawl through their training data. This is the architecture that many of the most popular AI services today, like text and image generators, use.

Most cutting-edge research today involves deep learning , which refers to using very large neural networks with many layers of artificial neurons. The idea has been around since the 1980s — but the massive data and computational requirements limited applications. Then in 2012, researchers discovered that specialized computer chips known as graphics processing units (GPUs) speed up deep learning. Deep learning has since been the gold standard in research.

"Deep neural networks are kind of machine learning on steroids," Hooker said. "They're both the most computationally expensive models, but also typically big, powerful, and expressive"

Not all neural networks are the same, however. Different configurations , or "architectures" as they're known, are suited to different tasks. Convolutional neural networks have patterns of connectivity inspired by the animal visual cortex and excel at visual tasks. Recurrent neural networks, which feature a form of internal memory, specialize in processing sequential data.

The algorithms can also be trained differently depending on the application. The most common approach is called "supervised learning," and involves humans assigning labels to each piece of data to guide the pattern-learning process. For example, you would add the label "cat" to images of cats.

In "unsupervised learning," the training data is unlabelled and the machine must work things out for itself. This requires a lot more data and can be hard to get working — but because the learning process isn't constrained by human preconceptions, it can lead to richer and more powerful models. Many of the recent breakthroughs in LLMs have used this approach.

The last major training approach is "reinforcement learning," which lets an AI learn by trial and error. This is most commonly used to train game-playing AI systems or robots — including humanoid robots like Figure 01 , or these soccer-playing miniature robots — and involves repeatedly attempting a task and updating a set of internal rules in response to positive or negative feedback. This approach powered Google Deepmind 's ground-breaking AlphaGo model.

What is generative AI?

Despite deep learning scoring a string of major successes over the past decade, few have caught the public imagination in the same way as ChatGPT's uncannily human conversational capabilities. This is one of several generative AI systems that use deep learning and neural networks to generate an output based on a user's input — including text , images , audio and even video .

Text generators like ChatGPT operate using a subset of AI known as "natural language processing" (NLP). The genesis of this breakthrough can be traced to a novel deep learning architecture introduced by Google scientists in 2017 called the "transformer."

Transformer algorithms specialize in performing unsupervised learning on massive collections of sequential data — in particular, big chunks of written text. They're good at doing this because they can track relationships between distant data points much better than previous approaches, which allows them to better understand the context of what they're looking at.

"What I say next hinges on what I said before — our language is connected in time," said Hooker. "That was one of the pivotal breakthroughs, this ability to actually see the words as a whole."

LLMs learn by masking the next word in a sentence before trying to guess what it is based on what came before. The training data already contains the answer so the approach doesn't require any human labeling, making it possible to simply scrape reams of data from the internet and feed it into the algorithm. Transformers can also carry out multiple instances of this training game in parallel, which allows them to churn through data much faster.

By training on such vast amounts of data, transformers can produce extremely sophisticated models of human language — hence the "large language model" moniker. They can also analyze and generate complex, long-form text very similar to the text that a human can generate. It's not just language that transformers have revolutionized. The same architecture can also be trained on text and image data in parallel, resulting in models like Stable Diffusion and DALL-E, that produce high-definition images from a simple written description.

Transformers also played a central role in Google Deepmind's AlphaFold 2 model, which can generate protein structures from sequences of amino acids. This ability to produce original data, rather than simply analyzing existing data is why these models are known as "generative AI."

Narrow AI vs artificial general intelligence (AGI): What's the difference?

People have grown excited about LLMs due to the breadth of tasks they can perform. Most machine learning systems are trained to solve a particular problem — such as detecting faces in a video feed or translating from one language to another. These models are known as “narrow AI” because they can only tackle the specific task they were trained for.

Most machine learning systems are trained to solve a particular problem —, such as detecting faces in a video feed or translating from one language to another —, to a superhuman level, in that they are much faster and perform better than a human could. But LLMs like ChatGPT represent a step-change in AI capabilities because a single model can carry out a wide range of tasks. They can answer questions about diverse topics, summarize documents, translate between languages and write code.

This ability to generalize what they've learned to solve many different problems has led some to speculate LLMs could be a step toward AGI, including DeepMind scientists in a paper published last year. AGI refers to a hypothetical future AI capable of mastering any cognitive task a human can, reasoning abstractly about problems, and adapting to new situations without specific training.

AI enthusiasts predict once AGI is achieved, technological progress will accelerate rapidly — an inflection point known as "the singularity" after which breakthroughs will be realized exponentially. There are also perceived existential risks , ranging from massive economic and labor market disruption to the potential for AI to discover new pathogens or weapons.

But there is still debate as to whether LLMs will be a precursor to an AGI, or simply one architecture in a broader network or ecosystem of AI architectures that is needed for AGI. Some say LLMs are miles away from replicating human reasoning and cognitive capabilities. According to detractors, these models have simply memorized vast amounts of information , which they recombine in ways that give the false impression of deeper understanding; it means they are limited by training data and are not fundamentally different from other narrow AI tools.

Nonetheless, it's certain LLMs represent a seismic shift in how scientists approach AI development, said Hooker. Rather than training models on specific tasks, cutting-edge research now takes these pre-trained, generally capable models and adapts them to specific use cases. This has led to them being referred to as "foundation models."

"People are moving from very specialized models that only do one thing to a foundation model, which does everything," Hooker added. "They're the models on which everything is built."

How is AI used in the real world?

Technologies like machine learning are everywhere. AI-powered recommendation algorithms decide what you watch on Netflix or YouTube — while translation models make it possible to instantly convert a web page from a foreign language to your own. Your bank probably also uses AI models to detect any unusual activity on your account that might suggest fraud, and surveillance cameras and self-driving cars use computer vision models to identify people and objects from video feeds.

But generative AI tools and services are starting to creep into the real world beyond novelty chatbots like ChatGPT. Most major AI developers now have a chatbot that can answer users' questions on various topics, analyze and summarize documents, and translate between languages. These models are also being integrated into search engines — like Gemini into Google Search — and companies are also building AI-powered digital assistants that help programmers write code, like Github Copilot . They can even be a productivity-boosting tool for people who use word processors or email clients.

— MIT scientists have figured out how to make popular AI image generators 30 times faster

— Scientists create AI models that can talk to each other and pass on skills with limited human input

— Researchers gave AI an 'inner monologue' and it massively improved its performance

Chatbot-style AI tools are the most commonly found generative AI service, but despite their impressive performance, LLMs are still far from perfect. They make statistical guesses about what words should follow a particular prompt. Although they often produce results that indicate understanding, they can also confidently generate plausible but wrong answers — known as " hallucinations ."

While generative AI is becoming increasingly common, it's far from clear where or how these tools will prove most useful. And given how new the technology is, there's reason to be cautious about how quickly it is rolled out, Hooker said. "It's very unusual for something to be at the frontier of technical possibility, but at the same time, deployed widely," she added. "That brings its own risks and challenges."

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Artificial Intelligence and Its Impact on Education Essay

Introduction, ai’s impact on education, the impact of ai on teachers, the impact of ai on students, reference list.

Rooted in computer science, Artificial Intelligence (AI) is defined by the development of digital systems that can perform tasks, which are dependent on human intelligence (Rexford, 2018). Interest in the adoption of AI in the education sector started in the 1980s when researchers were exploring the possibilities of adopting robotic technologies in learning (Mikropoulos, 2018). Their mission was to help learners to study conveniently and efficiently. Today, some of the events and impact of AI on the education sector are concentrated in the fields of online learning, task automation, and personalization learning (Chen, Chen and Lin, 2020). The COVID-19 pandemic is a recent news event that has drawn attention to AI and its role in facilitating online learning among other virtual educational programs. This paper seeks to find out the possible impact of artificial intelligence on the education sector from the perspectives of teachers and learners.

Technology has transformed the education sector in unique ways and AI is no exception. As highlighted above, AI is a relatively new area of technological development, which has attracted global interest in academic and teaching circles. Increased awareness of the benefits of AI in the education sector and the integration of high-performance computing systems in administrative work have accelerated the pace of transformation in the field (Fengchun et al. , 2021). This change has affected different facets of learning to the extent that government agencies and companies are looking to replicate the same success in their respective fields (IBM, 2020). However, while the advantages of AI are widely reported in the corporate scene, few people understand its impact on the interactions between students and teachers. This research gap can be filled by understanding the impact of AI on the education sector, as a holistic ecosystem of learning.

As these gaps in education are minimized, AI is contributing to the growth of the education sector. Particularly, it has increased the number of online learning platforms using big data intelligence systems (Chen, Chen and Lin, 2020). This outcome has been achieved by exploiting opportunities in big data analysis to enhance educational outcomes (IBM, 2020). Overall, the positive contributions that AI has had to the education sector mean that it has expanded opportunities for growth and development in the education sector (Rexford, 2018). Therefore, teachers are likely to benefit from increased opportunities for learning and growth that would emerge from the adoption of AI in the education system.

The impact of AI on teachers can be estimated by examining its effects on the learning environment. Some of the positive outcomes that teachers have associated with AI adoption include increased work efficiency, expanded opportunities for career growth, and an improved rate of innovation adoption (Chen, Chen and Lin, 2020). These benefits are achievable because AI makes it possible to automate learning activities. This process gives teachers the freedom to complete supplementary tasks that support their core activities. At the same time, the freedom they enjoy may be used to enhance creativity and innovation in their teaching practice. Despite the positive outcomes of AI adoption in learning, it undermines the relevance of teachers as educators (Fengchun et al., 2021). This concern is shared among educators because the increased reliance on robotics and automation through AI adoption has created conditions for learning to occur without human input. Therefore, there is a risk that teacher participation may be replaced by machine input.

Performance Evaluation emerges as a critical area where teachers can benefit from AI adoption. This outcome is feasible because AI empowers teachers to monitor the behaviors of their learners and the differences in their scores over a specific time (Mikropoulos, 2018). This comparative analysis is achievable using advanced data management techniques in AI-backed performance appraisal systems (Fengchun et al., 2021). Researchers have used these systems to enhance adaptive group formation programs where groups of students are formed based on a balance of the strengths and weaknesses of the members (Live Tiles, 2021). The information collected using AI-backed data analysis techniques can be recalibrated to capture different types of data. For example, teachers have used AI to understand students’ learning patterns and the correlation between these configurations with the individual understanding of learning concepts (Rexford, 2018). Furthermore, advanced biometric techniques in AI have made it possible for teachers to assess their student’s learning attentiveness.

Overall, the contributions of AI to the teaching practice empower teachers to redesign their learning programs to fill the gaps identified in the performance assessments. Employing the capabilities of AI in their teaching programs has also made it possible to personalize their curriculums to empower students to learn more effectively (Live Tiles, 2021). Nonetheless, the benefits of AI to teachers could be undermined by the possibility of job losses due to the replacement of human labor with machines and robots (Gulson et al. , 2018). These fears are yet to materialize but indications suggest that AI adoption may elevate the importance of machines above those of human beings in learning.

The benefits of AI to teachers can be replicated in student learning because learners are recipients of the teaching strategies adopted by teachers. In this regard, AI has created unique benefits for different groups of learners based on the supportive role it plays in the education sector (Fengchun et al., 2021). For example, it has created conditions necessary for the use of virtual reality in learning. This development has created an opportunity for students to learn at their pace (Live Tiles, 2021). Allowing students to learn at their pace has enhanced their learning experiences because of varied learning speeds. The creation of virtual reality using AI learning has played a significant role in promoting equality in learning by adapting to different learning needs (Live Tiles, 2021). For example, it has helped students to better track their performances at home and identify areas of improvement in the process. In this regard, the adoption of AI in learning has allowed for the customization of learning styles to improve students’ attention and involvement in learning.

AI also benefits students by personalizing education activities to suit different learning styles and competencies. In this analysis, AI holds the promise to develop personalized learning at scale by customizing tools and features of learning in contemporary education systems (du Boulay, 2016). Personalized learning offers several benefits to students, including a reduction in learning time, increased levels of engagement with teachers, improved knowledge retention, and increased motivation to study (Fengchun et al., 2021). The presence of these benefits means that AI enriches students’ learning experiences. Furthermore, AI shares the promise of expanding educational opportunities for people who would have otherwise been unable to access learning opportunities. For example, disabled people are unable to access the same quality of education as ordinary students do. Today, technology has made it possible for these underserved learners to access education services.

Based on the findings highlighted above, AI has made it possible to customize education services to suit the needs of unique groups of learners. By extension, AI has made it possible for teachers to select the most appropriate teaching methods to use for these student groups (du Boulay, 2016). Teachers have reported positive outcomes of using AI to meet the needs of these underserved learners (Fengchun et al., 2021). For example, through online learning, some of them have learned to be more patient and tolerant when interacting with disabled students (Fengchun et al., 2021). AI has also made it possible to integrate the educational and curriculum development plans of disabled and mainstream students, thereby standardizing the education outcomes across the divide. Broadly, these statements indicate that the expansion of opportunities via AI adoption has increased access to education services for underserved groups of learners.

Overall, AI holds the promise to solve most educational challenges that affect the world today. UNESCO (2021) affirms this statement by saying that AI can address most problems in learning through innovation. Therefore, there is hope that the adoption of new technology would accelerate the process of streamlining the education sector. This outcome could be achieved by improving the design of AI learning programs to make them more effective in meeting student and teachers’ needs. This contribution to learning will help to maximize the positive impact and minimize the negative effects of AI on both parties.

The findings of this study demonstrate that the application of AI in education has a largely positive impact on students and teachers. The positive effects are summarized as follows: improved access to education for underserved populations improved teaching practices/instructional learning, and enhanced enthusiasm for students to stay in school. Despite the existence of these positive views, negative outcomes have also been highlighted in this paper. They include the potential for job losses, an increase in education inequalities, and the high cost of installing AI systems. These concerns are relevant to the adoption of AI in the education sector but the benefits of integration outweigh them. Therefore, there should be more support given to educational institutions that intend to adopt AI. Overall, this study demonstrates that AI is beneficial to the education sector. It will improve the quality of teaching, help students to understand knowledge quickly, and spread knowledge via the expansion of educational opportunities.

Chen, L., Chen, P. and Lin, Z. (2020) ‘Artificial intelligence in education: a review’, Institute of Electrical and Electronics Engineers Access , 8(1), pp. 75264-75278.

du Boulay, B. (2016) Artificial intelligence as an effective classroom assistant. Institute of Electrical and Electronics Engineers Intelligent Systems , 31(6), pp.76–81.

Fengchun, M. et al. (2021) AI and education: a guide for policymakers . Paris: UNESCO Publishing.

Gulson, K . et al. (2018) Education, work and Australian society in an AI world . Web.

IBM. (2020) Artificial intelligence . Web.

Live Tiles. (2021) 15 pros and 6 cons of artificial intelligence in the classroom . Web.

Mikropoulos, T. A. (2018) Research on e-Learning and ICT in education: technological, pedagogical and instructional perspectives . New York, NY: Springer.

Rexford, J. (2018) The role of education in AI (and vice versa). Web.

Seo, K. et al. (2021) The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education , 18(54), pp. 1-12.

UNESCO. (2021) Artificial intelligence in education . Web.

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IELTS essay, topic: Artificial Intelligence will take over the role of teachers (agree/disagree)

IELTS Essays - Band 9

This is a model response to a Writing Task 2 topic from High Scorer’s Choice IELTS Practice Tests book series (reprinted with permission). This answer is close to IELTS Band 9.

Set 6 Academic book, Practice Test 26

Writing Task 2

You should spend about 40 minutes on this task.

Write about the following topic:

Some people feel that with the rise of artificial intelligence, computers and robots will take over the roles of teachers. To what extent do you agree or disagree with this statement?

Give reasons for your answer and include any relevant examples from your knowledge or experience.

You should write at least 250 words.

Sample Band 9 Essay

With ever increasing technological advances, computers and robots are replacing human roles in different areas of society. This trend can also be seen in education, where interactive programs can enhance the educational experience for children and young adults. Whether, however, this revolution can also take over the role of the teacher completely is debatable, and I oppose this idea as it is unlikely to serve students well.

The roles of computers and robots can be seen in many areas of the workplace. Classic examples are car factories, where a lot of the repetitive precision jobs done on assembly lines have been performed by robots for many years, and medicine, where diagnosis, and treatment, including operations, have also been assisted by computers for a long time. According to the media, it won’t also be long until we have cars that are driven automatically.

It has long been discussed whether robots and computers can do this in education. It is well known that the complexity of programs can now adapt to so many situations that something can already be set up that has the required knowledge of the teacher, along with the ability to predict and answer all questions that might be asked by students. In fact, due to the nature of computers, the knowledge levels can far exceed a teacher’s and have more breadth, as a computer can have equal knowledge in all the subjects that are taught in school, as opposed to a single teacher’s specialisation. It seems very likely, therefore, that computers and robots should be able to deliver the lessons that teachers can, including various ways of differentiating and presenting materials to suit varying abilities and ages of students.

Where I am not convinced is in the pastoral role of teachers. Part of teaching is managing behaviour and showing empathy with students, so that they feel cared for and important. Even if a robot or computer can be programmed to imitate these actions, students will likely respond in a different way when they know an interaction is part of an algorithm rather than based on human emotion.

Therefore, although I feel that computers should be able to perform a lot of the roles of teachers in the future, they should be used as educational tools to assist teachers and not to replace them. In this way, students would receive the benefits of both ways of instruction.

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‘Harvard Thinking’: Is AI friend or foe? Wrong question.

In podcast, a lawyer, computer scientist, and statistician debate ethics of artificial intelligence

Samantha Laine Perfas

Harvard Staff Writer

ChatGPT’s launch in late 2022 heightened the debate about whether recent leaps in artificial intelligence technology will help or hurt humanity — with some experts warning that AI tools pose an existential threat and others predicting a new era of flourishing.

Perhaps we need a bit more nuance in the conversation, argues Sheila Jasanoff , a science and technology expert at Harvard Kennedy School.

“I’ve been struck, as somebody who’s been studying risk for decades and decades, at how inexplicit this idea of threat is,” Jasanoff said in this episode of “Harvard Thinking.” “There’s a disconnect between the kind of talk we hear about threat and the kind of specificity we hear about the promises. And I think that one of the things that troubles me is that imbalance in the imagination.”

Martin Wattenberg , a computer scientist at the School of Engineering and Applied Sciences, said he’s been surprised at some of the ways AI has developed. While Hollywood depictions tend to depict enormous advances in math and science leading to humanity’s demise, what we’ve seen is a rise in creative augmentation through programs like Midjourney and DALL·E.

“In some ways it feels like the cutting edge [of AI] is with astonishing visuals, with humor even, with things that seem almost literary,” he said. “That’s been really surprising for a lot of people.”

Regardless of how AI continues to develop, ethics need to be at the forefront of conversations and integrated into education, said Susan Murphy , a statistician and associate faculty member at the Kempner Institute for the Study of Natural and Artificial Intelligence. One model of how that might be done is Harvard’s Embedded EthiCS initiative to weave philosophy and ethical modules into computer science coursework.

“We all have a responsibility to ensure our research is used ethically,” she said. “Often we go off the trail when someone has an enormous amount of hubris … and then there’s all these unintended consequences.”

In this episode, host Samantha Laine Perfas, Jasanoff, Wattenberg, and Murphy discuss the perils and promise of AI.

Sheila Jasanoff: So with AI, there are going to be consequences, and some of them will be good surprises, and others of them will be bad surprises. What is it that we want to do in the way of achieving a good society and where does the technology help us or hurt us?

Samantha Laine Perfas: Until recently, the capabilities of artificial intelligence have fallen short of human imagination. It’s now catching up, and it raises the question: How do we develop these technologies ethically?

Welcome to “Harvard Thinking,” a podcast where the life of the mind meets everyday life. Today we’re joined by:

Martin Wattenberg: Martin Wattenberg. I’m a computer scientist and a professor here at Harvard.

Laine Perfas: Martin is also part of Embedded EthiCS, a Harvard initiative to bring philosophers into computer science classrooms. Then:

Susan Murphy: Susan Murphy. I’m a professor also here at Harvard. I’m in statistics and the computer science department.

Laine Perfas: She’s also a faculty member at the Kempner Institute for the Study of Natural and Artificial Intelligence. She works at the intersection of AI and health. And finally:

Jasanoff: Sheila Jasanoff. I work at the Kennedy School of Government.

Laine Perfas: A pioneer in the field, she’s done a lot of work in science policy. Lately, a major topic of interest has been the governance of new and emerging technologies.

And I’m your host, Samantha Laine Perfas. I’m also a writer for The Harvard Gazette. And today we’ll be talking about the peril and promise of AI.

Artificial intelligence has been in the news a lot over the last year or so. And a lot of the coverage I see focuses on why we should fear it. What is it that is so scary about AI?

Jasanoff: I’ve been struck, as somebody who’s been studying risk for decades and decades, at how inexplicit this idea of threat is. Whether you look at the media or whether you look at fictive accounts or whatever, there is this coupling of the idea of extinction together with AI, but very little specificity about the pathways by which the extinction is going to happen. I mean, are people imagining that somehow the AIs will take control over nuclear arsenals? Or are they imagining that they will displace the human capacity to think, and therefore build in our own demise into ourselves? I mean, there’s a disconnect between the kind of talk we hear about threat and the kind of specificity we hear about the promises. And I think that one of the things that troubles me is that imbalance in the imagination.

Wattenberg: For me, the primary emotion and thinking about AI is just tremendous uncertainty about what’s going to happen. It feels almost parallel to the situation when people were first effectively using steam engines a couple hundred years ago, and there were immediate threats. In fact, a lot of the early steam engines literally would blow up. And that was a major safety issue. And people really worried about that. But if you think about the industrial revolution over time, there were a whole lot of other things that were very dangerous that happened, ranging from terrible things happening to workers and working conditions, to nuclear weapons, to the ozone layer starting to disappear, that I think would have been very hard to anticipate. One of the things that I feel like is a theme and what has worked well is very close observation. And so my feeling at this point is that, yeah, there is a lot of generalized worry that in fact, when there’s any very large change, there’s all sorts of ways that it can potentially go wrong. We may not be able to anticipate exactly what they are, but that doesn’t mean we should just be nihilistic about it. Instead, I think we should go into very deliberate, active information-gathering mode in a couple of ways.

Jasanoff: Martin, I think that’s an excellent entry point to get serious conversation going between us over at the Kennedy School and people in public health and other places, because it raises the question of whose responsibility is it to do that monitoring? I’m an environmental lawyer by training. I got into the field before Harvard was even teaching the subject. And one of the things that we chronically do not do as a society is invest in the monitoring, in the close supervision that you’re talking about. Time after time, we get seduced by the innovative spirit. I think that on the whole, the promise discourse tends to drown out the fear discourse, at least in America. I mean, it’s often considered part of what makes America great, right? That we are a nation of risk-takers. But it does raise the question, whether we’re willing to invest in the brakes at the same time that we’re investing in the accelerator. And this is where history suggests that we just don’t do it. Brakes are not as exciting as accelerators.

Laine Perfas: As someone who is not a computer scientist and not as well-versed in the nitty-gritty of artificial intelligence, I think a lot of the conversations that I hear or read or see seem so binary. I appreciate hearing some of the more nuanced ways that you all are thinking about this. And I’m curious if there’s other nuance that needs to be in this conversation.

Jasanoff: I think some of the nuance has to be around the whole idea of intelligence, right? People who are dealing with education theory, for instance, have been pointing out for a long time that one of the great faculties of the human mind is that we’re intelligent about very different things. I know people who are fantastic at math and have low, you know, emotional maturity and intelligence. And I know people who have no sense of direction, but still can compose music. And there has been a discussion about how the computer and also the personalities who do computer science may be guiding that idea of intelligence in overly narrowing ways.

Wattenberg: A lot of times you do hear questions about to what degree the people who are working on AI, that composition of this group, “Is that affecting what is happening, and in particular, the type of technologies developed?” And I think in many ways, you can point to aspects where there is an effect. But I would also say that collectively as a field, I think we are very interested in other approaches. I think there would be actually tremendous appetite for collaboration. There is another thing that I would say, which is that it’s not just the people, though. The technology itself has certain affordances of what turns out to be easy, what turns out to be really expensive to do, and that ends up being part of the equation as well. I think it’s important to take into account both the human aspect and how various human biases are coming into play, but also realize that to some extent, there are technical things happening. Some things just have turned out to be much easier than people expected. And some things have turned out to be harder. I would say the classic example of this that people talk about informally is that if you look at Hollywood depictions of AI, say Data from “Star Trek,” where people expected that the first big breakthroughs would be very mathematical, very literal. Instead, when we look at large language models, or, say, generative image models like DALL·E or Midjourney, in some ways it feels like the cutting edge is with astonishing visuals, with humor even, with things that seem almost literary in certain ways. And I think that’s been really surprising for a lot of people.

Murphy: I just wanted to jump in and, it’s a little bit of a different direction, but in terms of all of us who work at AI, we all have a responsibility to ensure our research is used ethically. The CS (Computer Science) department at Harvard is really trying hard to embed ethics in the classes. And I feel that’s a critical point because often we go off the trail when someone has an enormous amount of hubris and they think they don’t need anyone else and they can just do something, and then there’s all these unintended consequences. Whereas this Embedded EthiCS course, Martin, can you speak a little bit? I really feel like this is a bright point.

Wattenberg: Yeah. The general idea is that you want to make sure that students understand that ethics is just part of how you think about things in general, and so as part of many courses in the computer science departments, there’ll be a module that’s embedded, this is done with the philosophy department, to think about the very complicated issues that come up. There really is this sense that it is part of what we need to think about.

Jasanoff: There are two points I’d like to make in this connection. Many years ago, I was in a discussion when nanotechnology was the newest kid on the block, and all of humanity’s problems would be solved by going nano. There is this element of hype around new technologies. But people were talking about nano ethics. And a skeptical voice in the room said, “Well, there’s a lot of imitation going on here, because bioethics is a field and nanoethics is building on that.” This person said, “Does anybody know of a single case where bioethics said, stop, do not continue this line of research”? And there was dead silence in the room. And that fits with a perception that as soon as you turn ethics into a set of modularized principles, you end up standardizing the moral faculties in some ways. With bioethics, where, after all, we have now 30-plus years of experience with packaged or principalist bioethics, as people call it, people have turned away from that and have said that in order to really grapple with the moral dilemmas around such things as how much should we intervene in human reproduction, for instance, the philosophy department is not the right place to start. I don’t want to be a party spoiler in a sense, but there is a whole debate about what we’re trying to accomplish by thinking about ethics as a kind of add-on to the process instead of, let’s say, starting with the moral questions. What is it that we want to do in the way of achieving a good society? And where does the technology help us or hurt us? As opposed to starting with the technology and saying, “This is what the technology can do. Now imagine ethically problematic consequences.”

Murphy: I think I operated at a much lower level. For example, we have these algorithms, they’re running online, and they’re with people that are really struggling with some sort of health condition. And we’re thinking, “How are we going to monitor these algorithms as they learn about the individual and provide different kinds of suggestions or nudges?” And our main red flag is ethics. Are we overburdening these people? Are we causing trouble in their lives? It’s just, it’s all very practical. The algorithm we’re designing is all about the patient comes first, research is second.

Laine Perfas: I’m also curious if pursuing ethics is a challenge because not everyone is on board with using technology ethically. A lot of times technologies are used for malicious purposes or for personal gain. I’m wondering as artificial intelligence continues to develop so quickly, beyond just ethics, how do we also create space for things like regulation and oversight?

Jasanoff: I would take issue with the idea that ethics can be separated from regulation and oversight, because, after all, regulation and oversight express a population’s collective values. Regulation is a profoundly ethical act. It says that there are certain places we should go and certain places that we should not go. You know, I think that we haven’t put the question of money into this discussion. I mean, there’s this idea that the technology is just advancing by itself. It’s not just the brilliant engineer who has got nothing but the welfare of the patient in mind. It’s also, what are the spinoff technologies? Who’s going to come forward with the venture capital? Whose preferences, whose anticipatory ideas get picked up and promoted? Where is that discussion going to be had? Susan, I’m absolutely in sympathy with you. I don’t think it’s low-level at all, and I think in fact calling it low-level, the sort of pragmatic, on-the-ground thing, is disabling what is a noble instinct. I mean, that’s part of the Hippocratic Oath. If we’re going to deliver a medical service, we should do it for the benefit of the patient, right? I don’t think that’s low-level at all, but it is kind of linear. That is, when we say that it shouldn’t nudge the patient in the wrong direction. But supposing our problem is obesity, which is a big problem in this country. Should we be tackling at the level of nudging the patient into more healthful eating, or should we also be discussing how Lunchables get into the lunchbox?

Murphy: Right on with influence of money, Sheila. At least in my world, you put your finger right on a big concern. There’s very strong monetary incentives to go in certain directions, and it’s hard to fight against that.

Wattenberg: Yeah, I think that this idea of what is equitable and what isn’t, this is absolutely critical. When we talk about what are the worries with AI, this is one that you hear people talk about a lot: What if it ends up helping the already powerful become even more powerful? Now, I will say that those to me seem like incredibly legitimate worries. They also do not seem like inevitabilities to me. I think there are many paths to making sure that technology can work for many people. There’s another thing that I think is actually potentially very interesting; some of these technologies, so ChatGPT, for example, may help less-skilled people more than highly skilled people. There’s an interesting study that came out recently where people were thinking of ideas in a business setting. And what they found is that the most skilled people who were tested weren’t improved that much by using ChatGPT, but the performance was very much improved by people who were less skilled. And that’s interesting because it’s sort of flattening a curve in a way. Now, whether that study holds up I don’t know. But it’s an interesting thought, you know, I think that we should not assume that it is going to increase inequality and in fact what we should try to do is work very hard so it does not.

Jasanoff: Martin, if I could throw the question back at you: But supposing what it means is that the less-skilled jobs can be replaced by a ChatGPT, but the higher-skilled jobs cannot? Then is that not a different sort of take on the problem that routinized tasks would be better performed by mechanical instruments whose job it is to do routine? That’s relatively easy to appreciate as just a logical point. Since you referred to the history of technology, we’ve seen when machine looms were first introduced, they displaced the people at the lower end of the scale. So what has happened over hundreds of years? We still appreciate the craft skills, but now it’s the very rich people who can afford the craft. Hand-loomed silk fabrics and hand-embroidered seed pearls still command unbelievable prices. It’s just that, most people can only afford glass pearls or whatever. And we are certainly in a much more technologically interesting world, there’s no doubt about it. But the inequality problems, if anything, are worse. That is a kind of problem that does preoccupy us on our side of the river.

Wattenberg: I think there’s this broad question about technology in general, and then there’s, I think, the specific question about what is different about AI. This I think we don’t know yet. And, to go back to what you began with in terms of will this lead to job displacement, there is this famous saying that the worries about AI are all ultimately worries about capitalism. And I think it’s a fairly deep saying in a lot of ways. But even within the framework that we have, could we reconfigure the economic system is one question, but even if we can’t, I feel like within that, there are lots of things we can do to make the technology work better.

Laine Perfas: Martin, one thing you mentioned earlier was an effort to democratize the technology. When I think about the technology being as widely available as it is, that requires a lot of trust in one another, and we don’t have a lot of that going around these days.

Wattenberg: That’s a very important point. And the idea of like, how do we democratize the technology without making it too easily usable by bad actors. It’s hard. I don’t know the answer to this. I do think this is where this idea of observation comes in. To go back to a metaphor Sheila used before was a car, of brakes and accelerator. And when I think about driving a car, what makes a safe driver? Is it access to brakes and accelerator? Yeah, that’s part of it, but what you really need is clear vision. You need a dashboard, you need a speedometer, you need a check-engine light, you need an airbag. And in a sense, thinking in terms of just brakes or acceleration is a very narrow way to approach the problem. And instead we should think about, OK, what is the equivalent of an airbag? Are there economic cushions that we could create? What is the equivalent of a speedometer, of a fuel gauge? This is why I believe that, and literally this is what my research is largely about at this point, is understanding both what neural networks are doing internally and thinking about their effects on the world. Because I think if you’re going to drive, it’s not just a matter of thinking do I speed up or slow down, but you really have to look around you and look at what’s actually happening in the world.

Jasanoff: If I could double down a bit, the brake and the accelerator, of course, are metaphors. And I was making the point that as a society, we tend to favor certain kinds of developments more than others. The stop, look, be wise, be systemic, do recursive analysis, those are things that we systematically do not invest the same kind of resources in as “move quickly and break things.” One of the things we have to cultivate alongside hubris is humility, and I think you and I are on the same page, and Susan too, that it has to be a much more rounded way of looking at technological systems. Again, I’m an environmental lawyer and on the whole, we started investing in waste management much later than we started investing in production. And we needed some really big disasters, such as the entire nuclear waste problem around the sites where the nuclear weapons plants are built. And now people, of course, recognize that. With AI, there are going to be consequences, and some of them will be, as you said, good surprises, and others of them will be bad surprises. Let me use a different driving metaphor: Are we awake at the wheel, or are we asleep at the wheel? I think the question whether we can be globally sleepwalking is a genuine, real question. It’s not something that AIs have to invent for us.

Wattenberg: Yeah, when I hear you talking about the car, you’re also talking about looking ahead, looking out the window, trying to figure out what’s going on. And I think that’s the key thing. It’s figuring out what are the things we want to worry about. There are things that you’ve alluded to that were genuine disasters that took decades for people to figure out. And one of the things I think about is if we could go back in time, what structures would we put into place to make sure we were worrying about the right things? That we press the brakes when necessary. We accelerate when necessary. We turn the wheels when necessary. What sort of observational capabilities can we build in to gain information to see where we’re going?

Laine Perfas: What is the role of universities and research institutions in this conversation as opposed to someone who might be using the technology for profit?

Wattenberg: I feel like there’s actually tremendously good work happening both in industry and academia. I also do think that these systems are somewhat less opposed than we believe. But I do think there is a big difference, which is that in a university, we can work on basic science. That can happen in industry too, but it really is something that is the core mission of the university, to figure things out, to understand the truth. And I think that attitude of trying to understand, there’s a lot the university can offer.

Jasanoff: We in liberal arts universities have been committed to the idea that what we’re training is future citizens. And so we take advanced adolescents and produce young adults. And during those four years, they undergo a profound transformation. I think that if we put side by side with the acquisition of knowledge, the production of citizens, then I think that there’s actually a huge promissory space that we are not currently filling as we might. What do we need to do to take citizens of the United States in the 21st century and make sure that, whether they go into industry or whether they go into the military or whatever, certain habits of mind will stay with them? A spirit of skepticism, a spirit of modesty, I think that is every bit as important a mission as knowledge acquisition for its own sake.

Laine Perfas: I want to pivot a little bit; we’ve been talking a lot about the threats and the concerns. A lot of you have also done work with very exciting things in AI.

Murphy: One thing that I’m excited about in terms of AI is you’re seeing hospitals use AI to better allocate scarce resources. For example, identify people who are most likely to have to come back into the hospital later, and so then they can allocate more resources to these people to prevent them from having to re-enter the hospital. Many resources, particularly in the healthcare system, are incredibly scarce. And whenever AI can be harnessed to allocate those resources in a way which is more equitable, I think this is great.

Wattenberg: I have to say, there’s a massive disconnect between the very-high-level conversations that we’re having and what I’m seeing anecdotally, which is this sort of lighthearted, mildly positive feeling that this is fun and working out. And I know of several people who are junior coders, for example, who will just talk to ChatGPT to help understand code that maybe colleagues have written. And they get great answers and they feel like this is this significant improvement to their life and they’re becoming much more effective. They’re learning from it. That’s something that I would just point to as something for us in the academic world to look at carefully.

Jasanoff: Any sort of powerful technology, there are these dimensions of whether people can take the technology and make it their own and do things that set creative instincts free. I’ve certainly found among my students who are adept at using AIs that there’s a lot of excitement about what one might call sort of creativity-expanding dimensions of the technology. But then there are creativity-dulling aspects of the technologies as well.

Laine Perfas: What are things that would be helpful to consider as we think about AI and the place it will have in our future?

Wattenberg: I have one, I would say, prime directive for people who want to know more about AI, which is to try it out yourself. Because one of the things I’ve discovered is that learning about it by hearsay is really hard. And it’s very distorting. And you often hear what you want to hear, or if you’re a pessimistic person, what you don’t want to hear. Today, you have any number of free online chatbots that you can use. And my strongest piece of advice is just try them out yourself. Play with them, spend a few hours, try different ways of interacting, try playful things, try yelling at it, try giving it math problems if you want, but try a variety of things. Because this is a case where, like, your own personal unmediated experience is going to be an incredibly important guide. And then that’s going to very much help you in understanding all of the other debates you hear.

Jasanoff: I’m totally in favor of developing an experimental, playful relationship with the AIs, but at the same time keep certain questions in the back of one’s mind. Who designed this? Who owns it? Are there intellectual property rights in it? When I’m playing with it, is somebody recording the data of me playing with it? What’s happening to those data? And what could go wrong? And then the single thing that I would suggest is, along with asking about the promises, ask about the distributive implications. To whom will the promises bring benefits? From whom might they actually take some resources away?

Laine Perfas: Thank you all so much for such a great conversation.

Murphy: Thank you.

Laine Perfas: Thanks for listening. For a transcript of this episode and to see all of our other episodes, visit harvard.edu/thinking. This episode was hosted and produced by me, Samantha Laine Perfas. It was edited by Ryan Mulcahy, Paul Makishima, and Simona Covel, with additional support from Al Powell. Original music and sound design by Noel Flatt. Produced by Harvard University.

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AI for Essay Writing — Exploring Top 10 Essay Writers

Let’s admit it — essay writing is quite a challenging task for students. Especially with the stringent deadlines, conducting research, writing , editing, and addressing to-and-fro reviews — consumes a whole lot of time and often becomes stressful. Therefore, students are always on the lookout for tools that speed up the essay writing process.

And that’s when AI writing tools make their debut! Using the best AI for essay writing makes the lives of students much easier by automatically generating the essay for them.

The rise in the popularity of artificial intelligence technology and deep learning has paved the way for the numerous AI writer tools available today. To help you understand the different types of AI tools and their benefits, we’ve uncovered the features of the top 10 AI essay generators in this article.

Let’s explore the tools and learn how they are transforming the tedious task of essay writing!

What is essay writing?

Essay writing is a part of academic writing that emphasizes formulating an idea or argument. The main objective of academic essay writing is to present a well-reasoned argument or idea. Evidence, analysis, and interpretation are the three major components of essay writing . It should have a logical structure to support the argument or idea of the essay so that it communicates clearly and concisely.

What is an AI essay writer?

AI essay writers is a tool that is designed to help students generate essays using machine learning techniques. They can be used to generate a full essay or generate a few parts of the essay, for example, essay titles, introduction, conclusion, etc.

Why should researchers use AI essay generators?

There are infinite benefits to using AI tools for writing unique essays, especially for researchers or students. Here are a few of them —

1. Saves time

Using best AI for essay writing has its own benefits. Students can take care of the research process while these AI tools write the essays for them. Be it an essay topic or a full-length essay generation, it saves a bunch of students' time.

2. Boosts productivity

Writing is a tedious task especially when you want to write an essay about a novel topic, that writer’s block starts haunting and your productivity gets affected. But, with AI, it’s the other way around and increases productivity by quickly generating the essays for you.

3. Enhances writing skills — Vocabulary and Style

Adopting the best AI essay writing AI tool not only help with creating essays but also help us hone our writing skills by giving proper suggestions about grammar, sentence structure, tone, style, and word choice.

4. Reduces stress

Students often undergo a lot of pressure and stress because of deadlines and submissions. With the best AI essay generator, they help you write essays smarter thereby reducing stress and fear in no time.

5. Facilitates multidisciplinary research

AI essay writing tools foster interdisciplinary study through their ability to scan and combine knowledge from multiple domains. That way, it helps us quickly get a grasp of new subjects or topics without a heavy-lifting process.

6. Cost-effective

Most of the AI essay writing tools have lower pricing and also allow certain discounts for students. So, it is also a cost-effective approach to use AI writing tools.

The Top AI Essay Writing Tools and Their Features

Several AI essay writers are available based on the types of essays one would want to generate. Now, let's quickly understand the top 10 AI writing tools that generate essays within just a few minutes.

1. PerfectEssayWriter.ai

It is one of the best AI for essay writing that not only creates an essay but also comes up with advanced features including plagiarism detection, auto-referencing, and contextual analysis. As a result, it generates coherent essays that are well-researched and properly cited. It is best recommended for creating academic essays and essay outlines.

How does PerfectEssayWriter work?

Pick the right tool for your purpose — Go with an essay writer if you want to generate a full essay or choose the essay outliner if you want to create just the outline of the essay.
Enter your specific conditions and preferences. Add essay topic, academic level, essay type, number of pages, and special instructions, if any.
Click on “generate” and wait for the result
Once you have the essay generated, you can review, edit, or refine it and then download it.
Generates a large chunk of data up to 2000 words
Output is provided within 90 seconds
Provides a plethora of other tools like Citation generator, grammar checker, thesis statement generator, and more
Comes with 10+ essay writing templates
Subscription-based and not a free tool
Human review is a mandate

2. Essaybot - Personalized AI writing

Essaybot is the product of a reputed online essay-writing service, MyPerfectWords. It is meant to enhance academic essay writing and streamline the tasks of students. Its user friendly website makes it an instant and hassle-free essay generation saving a lot of time and effort for students.

How does Essaybot work?

Enter the essay title or topic
Click on “start writing” and wait for it to generate a well-reasoned essay.
The tools come for free
No sign-up is required
100% unique and High-quality output
Very limited features that lack advanced functionalities

3. FreeEssayWriter.net

FreeEssayWriter is an organization that provides essay-writing services to students worldwide. It has an AI essay typer tool — that helps you generate essays instantly. What sets this essay typer apart is its initiative to help students with their free essay writer providing the students with a 2-page free essay.

How does FreeEssayWriter.net work?

It works similarly to Essaybot, input the title or the topic of your essay and wait for it to generate the essay. They also have an option to edit and download a free version of the generated essay instantly.

Provides high-quality essays and is considered to be one of the reliable and trusted sources of information
Students can improve their writing skills and learn more about essays by referring to their free essay database or sources
Priority customer support is available 24*7
The site is not optimized for mobile devices
The quality of the essay output could still be improved

4. MyEssayWriter

This AI essay writing tool is no exception in terms of generating a high-quality essay. You can generate essays for various topics depending on the background of your research study. Be it academic or non-academic essay writing, this tool comes in handy.

How does MyEssay Writer work?

Add your preferences and then click on generate. It will give you a high-quality and 100% unique essay crafted based on your requirements.

The tool comes for free — no subscription is required
Knows for its consistency in the quality and the tone of the essay output
Also has a paid custom writing service that provides human-written essays
Might not provide quality output for complex and technical-based keywords or topic

5. College Essay AI

College essay AI stands unique as an ai writing tool as it not only uses an AI-based algorithm to generate essays but it also backs up the output as it is reviewed and approved by a team of professional experts. It is the best AI essay writing tool for college and graduate students where the output adheres to the graduate students' essay writing guidelines.

How does the College Essay AI generator work?

Input the required information — essay topic, academic level, number of pages, sources, and specific instructions, if any.
Click on “generate essay” and wait for the output
Conduct plagiarism and grammar check
Download the essay
High-level output for academic essay writing
Pocket-friendly premium plans
Doesn’t provide multiple sets of templates
Not quite suitable for non-academic essay writing

6. Jasper AI

Jasper AI has been the oldest player in the game of AI content writing. Fast forward to now, its features have been magnified with the inception of natural language processing algorithms and that’s how they are helping students write their essays as well. However, Jasper is the best AI tool for non-academic writing projects like content writing or creative writing.

How does Jasper AI work?

Choose a template — if you are about to write an essay, go with the “document”
Add your preferences
Click “compose” and get the output
Generates the essays instantly
Provides well-structured output according to the tone and style of your preferences
Not quite suitable for academic writing essays

7. Textero AI

Textero AI provides a few writing tools for students that facilitate their various academic papers and writing projects. Its essay generator helps you generate ideas for a full-length essay based on the topic and also suggests new topic ideas or thesis statement ideas for your academic assignments.

How does Textero AI work?

Click on “Essay Generator” located on the LHS (Left-hand Side)
Input the title and description based on which you want to generate the essay
Pick the right citation style
Click “generate” and wait for the output
It also provides other tools like an outline generator, and summary generator and has an AI research assistant that answers all your questions relevant to the research
The output is 100% unique and plagiarism and error-free
Might fail to provide an essay focussed on complex or technical topics

8. Quillbot

Though Quillbot is essentially built for paraphrasing and summarizing tasks. It comes as a rescue when you have to revamp, improvise, or refine your already-composed essay. Its co-writer helps you transform your thoughts and ideas and make them more coherent by rephrasing them. You can easily customize your text based on the customization options available.

How does Quillbot Paraphraser work?

Import or copy the content
Click on “Paraphrase” “Summarize” or “Suggest text” based on your requirement
Make the required customizations and save the document.
Offers a plethora of tools required for students
Both free and premium plans are available
Enhances vocabulary and language skills
Limited customization options with the free plan
Only supports the English language

9. SciSpace Paraphraser

SciSpace is the best AI tool that helps you fine-tune your essay. If you feel your essay writing needs AI suggestions to improve the language, vocabulary, writing styles, and tone of your essay, SciSpace is at your rescue. It has more customized options than Quillbot and improves your essay by rephrasing it according to the required or preferred writing style, and tone. This is a very good alternative to Quillbot.

How does SciSpace Paraphrasing work?

Simply paste the content to the screen
Choose the length and variation properly
Select the language
Click “Paraphrase”
Has 22 custom tones and all of them are available even on the free plan
Supports 75+ languages
Comes with an AI-detection report for English paraphrase output
Delay in the output

10. ChatGPT

It would be unfair if we talk about AI tools and do not enlist ChatGPT. When it comes to automated essay writing tasks, ChatGPT is not trivial. With proper prompts, you can automate the essay writing process and generate a well-crafted and coherent essay. However, the quality and the accuracy cannot be trusted as the model hallucinates and doesn’t include sources.

How does ChatGPT work?

Create a prompt based on your requirement
Ask ChatGPT to write an essay about your topic, specify conditions and preferences
Click enter and wait for the essay
Comes for free
Cannot rely on the output as the model hallucinates
Lacks the upgraded features that other essay-writing tools have

Concluding!

Writing essays can be a real struggle. But, the inception of the best AI essay-generation tools makes the entire writing process a lot easier and smoother. However, you should be extra vigilant while relying on these tools and consciously use them only as a technological aid. Because over-reliance on these AI tools could diminish student's writing skills and the user can become more gripped by the tools. So, use it wisely without affecting your knowledge and skills.

You can explore the above tools whenever you need any help with essay writing, and reap the benefits of them without compromising on the quality of your writing.

And! If you're stuck exploring multiple research papers or want to conduct a comprehensive literature review , you know which tool to use? Yes, it's SciSpace Literature Review, our AI-powered workspace, which is meant to make your research workflow easier. Plus, it also comes with SciSpace Copilot , our AI research assistant that answers any question that you may have about the research paper.

If you haven't used it yet, you can use it here !

Choosing the best AI for writing long-form essays depends on your requirements. Here are the top 5 tools that help you create long-form and college essays —

1. Free Essay Writer AI

2. College Essay AI

3. My Essay Writer

4. Textero AI

5. Perfect Essay Writer

The Perfect Essay Writer AI and Textero AI are the two best AI essay generators that help you write the best essays.

ChatGPT is not specifically built to assist you with essay writing, however, you can use the tool to create college essays and long-form essays. It’s important to review, fact-check the essay, and refer to the sources properly.

Essaybot is a free AI essay generator tool that helps you create a well-reasoned essay with just a click.

Unless your university permits it, using AI essay generators or writing tools to write your essay can be considered as plagiarism.

AI for Meta-Analysis — A Comprehensive Guide

How To Write An Argumentative Essay

Beyond Google Scholar: Why SciSpace is the best alternative

AI Has Lost Its Magic

That’s how you know it’s taking over.

image of a pink ice-cream pop, overturned and melting

I frequently ask ChatGPT to write poems in the style of the American modernist poet Hart Crane. It does an admirable job of delivering. But the other day, when I instructed the software to give the Crane treatment to a plate of ice-cream sandwiches, I felt bored before I even saw the answer. “The oozing cream, like time, escapes our grasp, / Each moment slipping with a silent gasp.” This was fine. It was competent. I read the poem, Slacked part of it to a colleague, and closed the window. Whatever.

A year and a half has passed since generative AI captured the public imagination and my own. For many months, the fees I paid to ChatGPT and Midjourney felt like money better spent than the cost of my Netflix subscription, even just for entertainment. I’d sit on the couch and generate cheeseburger kaiju while Bridgerton played, unwatched, before me. But now that time is over. The torpor that I felt in asking for Hart Crane’s ode to an ice-cream sandwich seemed to mark the end point of a brief, glorious phase in the history of technology. Generative AI appeared as if from nowhere, bringing magic, both light and dark. If the curtain on that show has now been drawn, it’s not because AI turned out to be a flop. Just the opposite: The tools that it enables have only slipped into the background, from where they will exert their greatest influence.

Looking back at my ChatGPT history, I used to ask for Hart Crane–ice-cream stuff all the time. An Emily Dickinson poem about Sizzler (“In Sizzler’s embrace, we find our space / Where simple joys and flavors interlace”). Edna St. Vincent Millay on Beverly Hills, 90210 (“In sun-kissed land where palm trees sway / Jeans of stone-wash in a bygone day”). Biz Markie and then Eazy-E verses about the (real!) Snoop Dogg cereal Frosted Drizzlerz. A blurb about Rainbow Brite in the style of the philosopher Jacques Derrida. I asked for these things, at first, just to see what each model was capable of doing, to explore how it worked. I found that AI had the uncanny ability to blend concepts both precisely and creatively.

Read: The AI Mona Lisa explains everything

Last autumn, I wrote in The Atlantic that, at its best, generative AI could be used as a tool to supercharge your imagination . I’d been using DALL-E to give a real-ish form to almost any notion that popped into my head. One weekend, I spent most of a family outing stealing moments to build out the fictional, 120-year history of a pear-flavored French soft drink called P’Poire. Then there was Trotter, a cigarette made by and for pigs. I’ve spent so many hours on these sideline pranks that the products now feel real to me. They are real, at least in the way that any fiction—Popeye, Harry Potter—can be real.

But slowly, invisibly, the work of really using AI took over. While researching a story about lemon-lime flavor , I asked ChatGPT to give me an overview of the U.S. market for beverages with this ingredient, but had to do my own research to confirm the facts. In the course of working out new programs of study for my university department, I had the software assess and devise possible names. Neither task produced a fraction of the delight that I’d once derived from just a single AI-generated phrase, “jeans of stone-wash.” But at least the latter gave me what I needed at the time: a workable mediocrity.

I still found some opportunities to supercharge my imagination, but those became less frequent over time. In their place, I assigned AI the mule-worthy burden of mere tasks . Faced with the question of which wait-listed students to admit into an overenrolled computer-science class , I used ChatGPT to apply the relevant and complicated criteria. (If a parent or my provost is reading this, I did not send any student’s actual name or personal data to OpenAI.) In need of a project website on short order, I had the service create one far more quickly than I could have by hand. When I wanted to analyze the full corpus of Wordle solutions for a recent story on the New York Times games library, I asked for help from OpenAI’s Data Analyst. Nobody had promised me any of this, so having something that kind of worked felt like a gift.

The more imaginative uses of AI were always bound to buckle under this actual utility. A year ago, university professors like me were already fretting over the technology’s practical consequences, and we spent many weeks debating whether and how universities could control the use of large language models in assignments. Indeed, for students, generative AI seemed obviously and immediately productive: Right away, it could help them write college essays and do homework . (Teachers found lots of ways to use it, too.) The applications seemed to grow and grow. In November, OpenAI CEO Sam Altman said the ChatGPT service had 100 million weekly users. In January, the job-ratings website Glassdoor put out a survey finding that 62 percent of professionals, including 77 percent of those in marketing, were using ChatGPT at work. And last month, Pew Research Center reported that almost half of American adults believe they interact with AI, in one form or another, several times a week at least.

Read: Things get strange when AI starts training itself

The rapid adoption was in part a function of AI’s novelty—without initial interest, nothing can catch on. But that user growth could be sustained only by the technology’s transition into something unexciting. Inventions become important not when they offer a glimpse of some possible future—as, say, the Apple Vision Pro does right now—but when they’re able to recede into the background, to become mundane. Of course you have a smartphone. Of course you have a refrigerator, a television, a microwave, an automobile. These technologies are not—which is to say, they are no longer —delightful.

Not all inventions lose their shimmer right away, but the ones that change the world won’t take long to seem humdrum. I already miss the feeling of enchantment that came from making new Hart Crane poems or pear-soft-drink ad campaigns. I miss the joy of seeing any imaginable idea brought instantly to life. But whatever nostalgia one might have for the early days of ChatGPT and DALL-E will be no less fleeting in the end. First the magic fades, then the nostalgia. This is what happens to a technology that’s taking over. This is a measure of its power.

Artificial Intelligence in Nicholas Carr’s is Google Making USupid?

This essay about the impact of artificial intelligence (AI) on human cognition and societal dynamics, as explored in Nicholas Carr’s “Is Google Making Us Stupid?” It highlights Carr’s examination of how AI, particularly through platforms like Google, shapes our thinking patterns and influences the way we interact with information. The essay delves into the dual nature of AI’s influence, discussing its potential benefits in various sectors while also addressing ethical concerns and the erosion of deep contemplation. Furthermore, it reflects on AI’s role in education and intellectual discourse, emphasizing the need for nuanced perspectives to navigate the evolving landscape of human-AI interaction.

How it works

In the reflective discourse presented by Nicholas Carr in “Is Google Making Us Stupid?” the profound implications of artificial intelligence (AI) on human cognition and societal dynamics are dissected. Carr’s narrative navigates through the labyrinth of digital advancements, particularly spotlighting Google’s omnipresence in shaping our cognitive landscapes. However, this discussion opens doors to broader contemplation, beyond the realms of technological influence, echoing the rhythmic pulse of human progress.

Carr eloquently articulates the subtle metamorphosis occurring within human cognition, catalyzed by the omnipresent digital environment.

The ease of access to vast repositories of knowledge, facilitated by AI algorithms, is posited as a double-edged sword. While it augments our informational arsenal, it also engenders a shallower engagement with content, leading to a gradual erosion of deep contemplation. Moreover, Carr provocatively probes the tendrils of AI influence, intricately intertwining with our cognitive processes, subtly nudging our intellectual trajectories.

Yet, as we traverse beyond Carr’s canvas, the kaleidoscope of AI’s impact unfolds, casting shadows and illuminating new vistas. The symbiotic relationship between AI and society transcends the confines of cognition, permeating various sectors with transformative fervor. Healthcare, finance, transportation—each domain bears witness to AI’s transformative touch, heralding an era of unparalleled efficiency and innovation. However, this technological utopia is not devoid of dystopian undertones, as ethical quandaries loom large, casting long shadows over the horizon.

Furthermore, Carr’s inquiry serves as a clarion call, beckoning us to probe deeper into the fabric of education and intellectual discourse. As AI algorithms metamorphose into digital curators, tailoring content to individual preferences, the specter of echo chambers looms large. The sanctity of diverse perspectives is imperiled, as the digital landscape morphs into an algorithmic tapestry, meticulously woven to appease individual sensibilities. Additionally, questions pertaining to the authenticity and reliability of AI-generated content punctuate the discourse, underscoring the fragility of traditional paradigms of authorship and expertise.

In summation, Carr’s narrative voyage in “Is Google Making Us Stupid?” unfurls as an odyssey through the intricate interplay between AI and human cognition. While Carr’s musings illuminate the potential pitfalls of unchecked technological proliferation, they also inspire introspection and dialogue. By navigating the labyrinthine landscape of AI’s impact with discernment and foresight, we can chart a course towards a future where the evolution of human interaction is harmonized with the transformative potential of artificial intelligence.

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Artificial Intelligence In Nicholas Carr's Is Google Making USupid?. (2024, Apr 14). Retrieved from https://papersowl.com/examples/artificial-intelligence-in-nicholas-carrs-is-google-making-usupid/

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Essay Topics. Artificial intelligence (AI) is a rapidly growing field, and writing an essay on it can be an excellent way to explore its various aspects. An artificial intelligence essay can be a great opportunity to discuss the advantages and disadvantages of AI and how it can impact society. It can also explore the technical details of AI ...
Artificial Intelligence Essay
Artificial Intelligence is the theory and development of computers, which imitates the human intelligence and senses, such as visual perception, speech recognition, decision-making, and translation between languages. Artificial Intelligence has brought a revolution in the world of technology.
65+ Topics In Artificial Intelligence: A Comprehensive Guide To The
Artificial Intelligence Topics For Presentation. Here are topics in artificial intelligence suitable for presentations: Deepfake Technology: Discussing the ethical and societal consequences of AI-generated synthetic media and its potential for misinformation and manipulation. Cybersecurity: Presenting the applications of AI in detecting and ...
Essay on Importance of Artificial Intelligence for Students
500 Words Essay on Importance of Artificial Intelligence The Rise of Artificial Intelligence. Artificial Intelligence (AI) has become an integral part of our everyday lives, transforming the way we work, play, and interact with the world around us. It is a field of computer science that mimics human intelligence in machines, enabling them to ...
Essay on Artificial Intelligence
High-quality essay on the topic of "Artificial Intelligence" for students in schools and colleges. ... / Essays / Essay on Artificial Intelligence. February 18, 2024. Students are often asked to write an essay on Artificial Intelligence in their schools and colleges. And if you're also looking for the same, we have created 100-word, 250-word ...
Essay on AI: How to Approach the Hot-Button Topic
In this post, we will give you advice on writing an argumentative essay to express your position, whether you tend to see the good or the bad of AI technology. How to Write a Positive Argumentative Essay on Artificial Intelligence. Writing positively about anything new usually means going against the trend.
Essay on Future of Artificial Intelligence
250 Words Essay on Future of Artificial Intelligence Introduction. Artificial Intelligence (AI) has become an integral part of our daily lives, from smartphones to autonomous vehicles. The future of AI is a topic of intense debate and speculation among scientists, technologists, and futurists. AI in Everyday Life
Essay on The Rise of Artificial Intelligence
History of Artificial Intelligence. Artificial Intelligence derives from an area of computer science used to create intelligent programs that can problem solve, plan, learn, recognize speech, etc. According to Weber (2019), this includes areas, "which human brainpower is simply too limited or would take too long to be useful" (p. 4, para. 10).
Artificial intelligence: What is AI?
Artificial intelligence (AI) refers to any technology exhibiting some facets of human intelligence, and it has been a prominent field in computer science for decades. AI tasks can include anything ...
The Controversy of Artificial Intelligence
Words. Download: 234. Order Original Essay. How it works. The realm of artificial intelligence, akin to an intricate puzzle waiting to be solved, captivates with its blend of fascination and debate. Within this labyrinth of innovation and uncertainty, the clash of perspectives paints a vibrant canvas of ethical dilemmas and societal repercussions.
Artificial Intelligence and Its Impact on Education Essay
Gulson, K. et al. (2018) Education, work and Australian society in an AI world. Web. IBM. (2020) Artificial intelligence.Web. Live Tiles. (2021) 15 pros and 6 cons of artificial intelligence in the classroom. Web. Mikropoulos, T. A. (2018) Research on e-Learning and ICT in education: technological, pedagogical and instructional perspectives.New York, NY: Springer.
IELTS Band 9 essay, topic: Artificial Intelligence will take over the
Write about the following topic: Some people feel that with the rise of artificial intelligence, computers and robots will take over the roles of teachers. To what extent do you agree or disagree with this statement? Give reasons for your answer and include any relevant examples from your knowledge or experience. You should write at least 250 ...
The Cons and Prons of Artificial Intelligence
In the dynamic realm of contemporary society, Artificial Intelligence (AI) emerges as a pivotal force, reshaping landscapes and fostering new paradigms. However, within this tapestry of innovation lies a nuanced narrative that warrants exploration, navigating the intricacies of AI's influence. At its core, AI embodies the promise of ...
How to develop ethical artificial intelligence
Harvard Staff Writer. April 10, 2024 long read. ChatGPT's launch in late 2022 heightened the debate about whether recent leaps in artificial intelligence technology will help or hurt humanity — with some experts warning that AI tools pose an existential threat and others predicting a new era of flourishing. Perhaps we need a bit more nuance ...
10 Best AI for Essay Writing
Here are a few of them —. 1. Saves time. Using best AI for essay writing has its own benefits. Students can take care of the research process while these AI tools write the essays for them. Be it an essay topic or a full-length essay generation, it saves a bunch of students' time. 2. Boosts productivity.
Teachers are using AI to grade essays. Students are using AI to write
Meanwhile, while fewer faculty members used AI, the percentage grew to 22% of faculty members in the fall of 2023, up from 9% in spring 2023. Teachers are turning to AI tools and platforms ...
AI Has Lost Its Magic
Indeed, for students, generative AI seemed obviously and immediately productive: Right away, it could help them write college essays and do homework. (Teachers found lots of ways to use it, too ...
Artificial Intelligence In Nicholas Carr's Is Google Making USupid
This essay about the impact of artificial intelligence (AI) on human cognition and societal dynamics, as explored in Nicholas Carr's "Is Google Making Us Stupid?" It highlights Carr's examination of how AI, particularly through platforms like Google, shapes our thinking patterns and influences the way we interact with information.

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