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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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.

Artificial Intelligence Essay

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 .

Get the huge list of more than 500 Essay Topics and Ideas

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.

essay on artificial intelligence class 12

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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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.

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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.

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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 Essay

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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Artificial Intelligence Essay in 100, 200, and 300 Words for School Students

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Essay On Artificial Intelligence

Artificial Intelligence (AI) has revolutionized every economic sector in the 21st century with its capacity to create efficient machines possessing cognitive abilities. Key components of this technological advancement, such as machine learning (ML), deep learning, and natural language processing (NLP), have enabled the development of machines that utilize data and algorithms to perform tasks akin to those performed by humans. To delve deeper into the world of AI, you can explore three insightful essays on Artificial Intelligence available in this blog. Keep browsing.

essay on artificial intelligence class 12

Table of Contents

  • 1 Artificial Intelligence Essay in 100 Words for School Students
  • 2 Artificial Intelligence Essay in 200 Words for School Students
  • 3 Artificial Intelligence Essay in 300 Words for School Students
  • 4 Short Essay on Artificial Intelligence

Also Read: Types of Artificial Intelligence

Artificial Intelligence Essay in 100 Words for School Students

Artificial Intelligence or AI is a revolutionary technology that allows machines to undertake tasks that usually need human intelligence. It includes natural language processing (NLP), problem-solving capabilities, and machine learning (ML). In contemporary times, AI technology has entered all aspects of human life. Currently, AI technology is present in virtual assistants like Siri to advanced applications in the finance, industrial, and healthcare sectors.

Even though AI presents extensive potential for innovation and efficiency, it has adverse effects like ethical concerns and job displacement. Therefore, it is important that we use AI technology in a controlled manner and always aspire for the wholesome development of human civilization. 

Also Read: Career in Artificial Intelligence: Opportunities & Outlook

Artificial Intelligence Essay in 200 Words for School Students

Artificial Intelligence (AI) is an evolving technology in the field of computer science. This technology aims to curate machines capable of reasoning, learning, and problem-solving by mimicking human cognitive functions. This technology allows computer and machine systems to adapt and improve performance without explicit programming using machine learning (ML), a subset of AI. Furthermore, AI technology is used in streaming platforms, autonomous vehicles, and advanced medical diagnostics. Due to its widespread usage, AI has become an integral part of the modern society.

However, the rapid development of AI technology often raises ethical concerns, especially about data privacy and security. Also, advancements in this latest technology have the potential to increase unemployment across various sectors. Thus, it is essential to strike a balance between innovation and protection of human elements and interests in the job sector and personal life. 

Therefore, as we adopt AI in our daily lives, it becomes our responsibility to generate awareness about crucial elements of AI and its impact on human civilization. On top of that, it is significant to mankind that technology should always adhere to the ethical guidelines of data privacy and cyber security. Also, federal and state governments must implement laws that prevent AI developers from threatening social harmony and national security within and beyond the nation’s territorial boundaries. 

Also Read: Top AI Courses after 12th with Salaries

Also Read: How to Prepare for UPSC in 6 Months?

Artificial Intelligence Essay in 300 Words for School Students

The advent of Artificial Intelligence (AI) is an attempt to converge computer science, mathematics, and cognitive science into singular units to create machines with human intelligence. These machines help in learning, reasoning, problem-solving, and language understanding. Owing to the varied tasks performed by AI-enabled machines, AI technology has become a landmark element of the technological revolution of the 21st century. 

AI technology has transformed the fields of healthcare, finance, automobile, and streaming services. In healthcare, AI is used for drug discovery and diagnosis. Whereas, in the financial sector, AI is used for risk management and optimization of trading strategies. On top of that, this technology has led to the development of AI-powered vehicles, which promise efficient and safe transportation. Furthermore, AI is used in recommendation systems on platforms like Netflix and Amazon to provide personalized suggestions based on the behavior and preferences of users. 

However, exemplary technological advancements always come with numerous drawbacks. One of the grave consequences of the large-scale adoption of AI is the fear of job loss. In recent times, automation has left many jobless, especially in the manufacturing sector. Thus, governments and technology companies must ensure that there should be a balanced discussion between technological advancements and societal well-being. Also, policymakers must have regular dialogue with ethicists to control the exploitation of citizen’s data by technology companies. 

Nevertheless, AI has opened exciting opportunities for inquisitive minds as it has created exciting jobs in coding, data science, and robotics. Owing to the increased use of AI technology in these arenas, people have the opportunity to improve their critical thinking, creativity, and problem-solving skills. To leverage new opportunities like these, students should start gaining hands-on experience with AI technologies at an early age. 

Thus, Artificial Intelligence is a revolutionary force that will shape the future of mankind. To harness the maximum benefits of this technology, it is advisable to use it wisely. Any development or innovation in AI technology must be directed towards the betterment of society and aim to protect the privacy of the weakest section of society. 

Also Read: Applications of Artificial Intelligence

Short Essay on Artificial Intelligence

Also Read: Speech on AI in English for School Students: Check Samples

Ans: AI is a branch of technology and computer science that empowers machines to perform tasks that require human intelligence. AI systems or AI-enabled machines use data and algorithms to learn, reason, and solve problems. It is widely used for speech recognition, autonomous vehicles, image processing, and disease diagnosis.

Ans: Machine learning (ML), natural language processing (NLP), deep learning, algorithms, and problem-solving are some of the essential AI elements. 

Ans: You can start by defining Artificial Intelligence. Then you can highlight its application in different fields. Thereafter, you can highlight the ethical concerns around this technology. Finally, you can conclude by weighing in on the future implications of this technological advancement. 

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Ankita Singh

Ankita is a history enthusiast with a few years of experience in academic writing. Her love for literature and history helps her curate engaging and informative content for education blog. When not writing, she finds peace in analysing historical and political anectodes.

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essay on artificial intelligence class 12

Essay on Artificial Intelligence

Artificial Intelligence is also known as the intelligence of machines. This is in contrast to the natural intelligence of humans. With Artificial Intelligence, machines can perform functions like learning, planning, reasoning and problem-solving. Most important, Artificial Intelligence i.e AI is the simulation of human intelligence by machines. It is probably the fastest-growing development in the World of technology and innovation till now. Moreover, many technical experts believe AI could solve major challenges and crisis situations.

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

Why is the Essay on Artificial Intelligence Important For Your Exams? 

An essay on Artificial Intelligence (AI) is crucial for exams because it demonstrates an understanding of a rapidly evolving and impactful field. It showcases awareness of AI's applications, ethical considerations, and societal implications, reflecting a well-rounded comprehension of contemporary technological advancements. Additionally, such essays often assess critical thinking and analytical skills, essential for evaluating the multifaceted aspects of AI. Overall, tackling this topic in exams enhances your ability to articulate informed opinions on complex issues, a valuable skill in various academic and professional contexts.

An essay on artificial intelligence demonstrates your grasp of fundamental concepts, showcasing your knowledge of AI's principles, applications, and impact. Crafting such an essay hones your ability to analyze complex topics, fostering critical thinking as you explore the implications, benefits, and challenges of AI. 

AI is increasingly integral to various fields. An essay on this topic highlights its relevance in addressing current societal, economic, and technological challenges. AI's global impact makes it a noteworthy subject. Demonstrating an understanding of its implications helps you connect your knowledge to broader global trends and issues.

Essay on Artificial Intelligence (100 words)

Artificial intelligence or AI is known as machine intelligence. It basically refers to the ability of machines to imitate human intelligence. Machines are now capable of learning, planning, thinking, and problem-solving, all thanks to artificial intelligence. The most notable aspect of artificial intelligence is how robots duplicate human intellect. It is one of the fastest-growing developments in the world of technology. AI is a technology that is transforming every day to day life. Today, artificial intelligence is being used more and more in practically every industry and our daily lives. While technology has improved and eased our lives, it has also put many employment at risk.

Essay on Artificial Intelligence (150 words)

Artificial Intelligence, or AI, is like teaching computers to be really smart. It's like magic that makes machines think and learn. AI is everywhere – in games, phones, and even some toys! It helps us by understanding what we say and do. Imagine having a friend in our computers! But, we must be careful and use AI nicely. It's important to share and be good to others. AI can do amazing things, like talking to us or helping with homework. So, let's be happy with our smart machines, always be kind, and remember that technology is here to make our lives fun and easier!

If we observe, many aspects of our day-to-day 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.

Essay on Artificial Intelligence (200 words)

Artificial Intelligence, or AI, is like a clever robot that can think and learn on its own. It's like having a smart friend made of computer programs. AI helps machines do things that normally need human brains, like solving problems or understanding pictures.

Imagine your AI friend is good at puzzles. If you show it different puzzles, it learns how to solve them by itself. That's AI learning! It's like when you practice math problems to get better.

AI also helps in games. Have you played a game where the computer acts like a player? That's AI making the game more interesting!

Another cool thing about AI is talking to it. Have you ever asked a question to a voice assistant? That's AI too! It can answer questions and even tell jokes.

But, just like with our friends, we need to teach AI the right things. We want it to be helpful and kind. People work hard to make sure AI helps us in good ways.

In the future, AI might help us even more, like in medicine or exploring space. So, AI is like a smart buddy, learning, helping, and making things exciting!

Essay on Artificial Intelligence (250 words)

Artificial intelligence was developed around 1950 by John McCarthy who is considered as the “Father of artificial intelligence” as he first coined the term. The development of gadgets or machines 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 also act like humans is done by instilling data as instructions and inputs to the machine.

Taking Over Industry

The need for human help is reduced 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 humans species. As is well said, technology works best when it unites people.

AI In Everyday Life

Advancement in technology has a direct influence on humans' lives, businesses and social life. Whether or not we purposefully realize it, AI has begun to penetrate the different aspects of our everyday lives. If we observe, many feature 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.

Essay on Artificial Intelligence (300 words)

Artificial Intelligence (AI) is a rapidly evolving field that has garnered immense attention and significance in recent years. At its core, AI refers to the development of computer systems capable of performing tasks that typically require human intelligence. This encompasses a broad spectrum of activities, from speech recognition and problem-solving to learning and decision-making.

One of the key facets of AI is machine learning, where systems are designed to learn and improve from experience. This ability allows AI to adapt to new data and patterns, making it exceptionally versatile. Machine learning is employed in various applications, such as image and speech recognition, recommendation systems, and autonomous vehicles.

The impact of AI extends across diverse industries, enhancing efficiency and innovation. In healthcare, AI aids in diagnostics, drug discovery, and personalized treatment plans. In finance, it optimizes trading strategies and detects fraudulent activities. Moreover, AI contributes to the development of smart cities, where it manages traffic, energy consumption, and public services.

However, the rise of AI also raises ethical considerations and challenges. Concerns regarding job displacement due to automation have surfaced, prompting discussions on the need for workforce adaptation. Additionally, ethical dilemmas related to data privacy, bias in algorithms, and the potential misuse of AI technology demand careful scrutiny and regulation.

Looking ahead, the future of AI holds both promise and responsibility. As the technology advances, it is crucial to strike a balance between innovation and ethical considerations. Striving for transparency, accountability, and inclusive development will be essential in ensuring the responsible deployment of AI for the benefit of society.

In conclusion, Artificial Intelligence represents a transformative force with far-reaching implications. Its application spans various sectors, revolutionizing the way we work and live. As we navigate this AI-driven era, a thoughtful and ethical approach will be pivotal in harnessing its potential for the greater good.

Essay on Artificial Intelligence (400 words)

Introduction 

As per the famous Daniel Bell, “Technology, like art, is the soaring exercise of human imagination.” It is also most difficult to imagine the world today without the internet and cellphones, but this has not always been the case. It has almost taken 30 years and four industrial revolutions to reach the world we live in today! Modern technology has become so advanced that it is on the brink of replacing human activities and human emotions. One such advanced form of technology includes AI or machine learning.

What is Artificial Intelligence ?

Artificial Intelligence is a part of technology that can process information and make decisions without human supervision. Researchers have been working hard on the technology for a very long time, and they still have a long road ahead of them, but AI has now become an integral part of our everyday lives. Many useful characteristics such as navigation apps, video suggestions, facial recognition, and smart assistants are a by-product of artificial intelligence.

Classifications of Artificial Intelligence 

According to researchers, there are four broad classifications of AI. The first includes ‘Reactive Machine’ where these machines do not have any memory storage capacity but can process information and make situation-based decisions. These machine learning devices use algorithms and are frequently used in gaming software such as chess and ludo. It is very easy for such programs to think of a million permutations and combinations  and reach the most suitable results. Some of the gaming software based on AI is so advanced that even the champions of the field have to take a bow in front of these programmes.

The second type of AI is called ‘Limited Memory’ technology and has taken the entire world by storm. Not only can such devices take situation-based decisions, but they also store previously analyzed data for future use. A good example of ‘limited memory’ technology is the video recommendation system on any video streaming platform like YouTube. Once the AI figures out the likes and dislikes of the user, it can make decisions on the user’s behalf and recommend shows and videos as per the user's interest. The ‘limited memory’ technology has become an easy way to influence and manipulate the data in masses as they use the thought process of the person himself. Although this is a revolutionary feat, it has also made people more vulnerable and prone to wasteful online shopping and other unusual activities.

The third type of AI, which has not seen much progress yet, includes ‘Theory of Mind.’ The idea is to develop a technology that can store and process data and have a human-like thought process that will allow the machine to make important decisions during a crisis. Scientists are working continuously on this project and have come up with some humanoid robots, but the results have not been good enough to replace human work and services. However, we can hope in the future to have a lot of robots doing our work.

The fourth type of AI is the ‘Self-awareness’ program which seems almost unachievable at this time. It refers to the knowledge of identifying oneself from given surroundings. A machine that would be self-aware would have its own emotions and its own thought process. If someday in the future, science is able to evolve to create ‘self-aware’ machines, the human race could achieve immortality. And although this idea sounds difficult to believe, it has its supporters in many advanced scientists such as Stephen Hawking and Albert Einstein. These scientists believed that it was possible to store and replicate human consciousness.

Conclusion 

AI has indeed made the world smaller and life more achievable. The distance that would take months to travel, a year ago, now can be traversed in a matter of a few hours. There is no place on Earth that humans cannot reach. AI has helped increase the duration of the entire human population by making health facilities cheaper and more accessible. But like every coin has two faces, AI technology has its pros and cons. We have become so addicted to our devices like mobile games, Alexa and many more that we’ve replaced them for physical human interaction. Not only is AI taking away from our social life, but it is also increasing health issues. Weaken eyesight, obesity, and cardiovascular issues are just common diseases resulting from the continuous use of technology sitting in one place. Thus, we must be reasonable with using any sort of technology.

Question 1. What is Artificial Intelligence?

Answer: Artificial Intelligence is a part of computer science that emphasizes the development of intelligent machines that would think and work like.

Question 2 : Can Artificial Intelligence help us?

Answer: Artificial Intelligence or AI 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, these robots 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 such as Tesla. The search engines like google and yahoo these days are also AI-powered. 

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Essay on Artificial Intelligence

Today, we are living in a technological era. Every work of our life involves technology in some or other way. In this modern time, we are ready to welcome “Artificial Intelligence” or “AI” in short. Artificial Intelligence is the latest groundbreaking innovation in the field of technology. AI has the ability to change many fields, such as healthcare, finance, manufacturing, and technology, by making them more productive, accurate, and efficient. This new area of technology looks like it will bring big changes to our society and the way we live and work. So let’s go in detail to explore Artificial Intelligence.

Artificial Intelligence (AI) Essay in English

Here, we are presenting long and short essays on Artificial Intelligence in English for students under word limits of 100 – 150 Words, 200 – 250 words, and 500 – 600 words. This topic is useful for students of classes 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12 in English. These provided essays will be helpful for students as well as everyone to know more about this latest technology.

10 Lines Essay on Artificial Intelligence (100 – 150 Words)

1) AI is a technology that can make machines behave like a human.

2) Beginning of Artificial Intelligence was the year 1955.

3) AI works on the basis of provided codes and programs.

4) Different programming languages like python are used in AI.

5) Human life has become easier and enjoyable just because of AI.

6) AI reduces human workload and enhances productivity.

7) As AI is replacing humans thus creating unemployment.

8) Implementing and maintaining AI systems can be costly.

9) Chat GPT, AI Image generator, robots, automated cars, etc are some examples of AI.

10) Depending on context and use, artificial intelligence can be a friend or enemy.

Short Essay on Artificial Intelligence (250 – 300 Words)

Introduction

We can say that Artificial Intelligence is the computers/machines with Intelligence that make our work easy. In simple terms, it is the process of providing computers the ability to think and act like a human. This is done by giving the computers data as inputs and directions.

Applications of Artificial Intelligence

The applications of AI are vast and diverse, ranging from healthcare and finance to transportation, entertainment, and many more. Some examples include, Self-driving cars, AI-Powered Assistants, Facial Recognition, Recommendation System, robotics, etc. some most popular AI applications are ChatGPT, which is a tool that lets users type in questions and get back images, text, or answers that they are looking for. AI image generator, which is a software that uses AI to make images out of the text entered by the user. Sophia, a very advanced humanoid robot that can act and behave like a person.

  Artificial Intelligence: Friend or Foe

Artificial Intelligence (AI) can be viewed as both a friend and a foe, depending on the context and how it is used. AI technologies can make many industries much more efficient by automating boring chores and freeing up people to do more complex and creative work. As AI makes some tasks easier to do by automating them, people worry about job losses and possible unemployment, especially in industries that rely heavily on manual work or tasks that are done over and over again. AI systems can be hacked or changed, which could pose a threat to safety and lead to the wrong use of AI-powered technologies.

Artificial Intelligence has revolutionized various industries and continues to evolve rapidly. However, the ethical considerations and potential risks associated with AI must be addressed to ensure its responsible and beneficial use.

Long Essay on Artificial Intelligence (500 Words)

Artificial intelligence was born in 1950. John McCarthy was the person to coin the term artificial intelligence for the first time. Artificial Intelligence (AI) is a rapidly evolving field that focuses on creating machines and systems that can mimic human intelligence. Through the use of algorithms and data, AI systems are designed to perform tasks that traditionally require human intelligence. AI systems are designed to analyze vast amounts of data, learn from patterns, and make predictions or recommendations based on this information.

Benefits of Artificial Intelligence

AI offers numerous benefits that augment human capabilities and enhance our daily lives. Automated tasks through AI systems enable increased efficiency, productivity, and accuracy, ultimately leading to cost savings for businesses and individuals. Moreover, AI can perform dangerous or monotonous tasks that pose risks to human safety. In healthcare, AI automation reduces medical errors and enables early detection of diseases, potentially saving lives. Additionally, AI technology has the potential to address global challenges, such as climate change, by optimizing energy usage and promoting sustainable practices.

Disadvantages of Artificial Intelligence

Despite its many benefits, the development and implementation of AI also raise important concerns. One concern revolves around the impact of AI on the job market, as automation may lead to high unemployment. Ongoing debates about ethics and privacy surround the use of AI, particularly regarding data collection and surveillance. Over-reliance on AI can make humans less self-reliant and reduce critical thinking skills, as people become more dependent on machines for decision-making and information.

Latest Examples of Artificial Intelligence

AI has a big impact on how we live. Wherever technology is used, Artificial Intelligence is a big part of it. Some of the applications of AI are as follows:

ChatGPT: ChatGPT is actually a chatbot that uses artificial intelligence. The OpenAI language model (GPT 3) is what makes ChatGPT work. The bot has been programmed to act like a person and do many different things.

AI Image Generator: A powerful machine learning algorithm called artificial neural networks (ANN) is used by an AI image generator to make new images. it uses word instructions to make pictures in a matter of seconds.

Tesla autopilot: Autopilot is an advanced system that helps drivers by putting safety and comfort first while they are on the road. Using AI and ML algorithms, Tesla’s Autopilot feature lets the car drive itself on roads with little help from the driver.

Microsoft Bing: The latest AI Bing was made to give the search engine the ability to give clever, detailed answers through its AI. Bing offers many different kinds of search services, such as web, video, picture, and map searches.

The ability of AI to mimic human intelligence and solve complex problems offers immense potential for improving efficiency, accuracy, and human well-being. But on the other hands, its effect can’t be underestimated. As AI grows, it is our job to use it to its fullest and make sure it stays as an instrument for good that makes our world better.

I hope the above provided essay on Artificial Intelligence will be helpful in understanding different aspects of this popular technology.

Essay on AI (400 – 500 Words)

Man is blessed up with the power to think and react or work. Possessing the intelligence and ability to respond in this way is different from animals. Intelligence is the ability of learning, reasoning, and problem-solving capacity. When the same functions are being carried out by the coordination of machines, this is termed as artificial intelligence.

Artificial Intelligence – A General Idea

Artificial intelligence is enhancing the ability of machines to make it perform in the same way as human beings. The different emerging technologies are relatively helping in artificial intelligence to excel. The machine in form of computers, mobiles, and other devices is helping aids. The different set of data as the input given to the machine helps it in performing any task. So in a better way, we can state that artificial learning comprises machines inbuilt with human intelligence by developing a set of data or algorithms.

There are many examples of artificial learning. Searching about anything by just voice typing is a smart way, time reducing too. But before the machine gives the result, it analyses too. There are several advancements taking place in artificial intelligence. The criteria are useful in researches too.

Types of Artificial Intelligence

There are mainly two types of artificial intelligence. They are:

Narrow Artificial Intelligence – AI systems that are designed to perform specific tasks or have limited scope, for example voice recognition.

General Artificial Intelligence – AI systems having an ability to perform tasks like human beings. To date, no such machine is developed.

Super Artificial Intelligence – AI with the capability to perform better than a human being itself. The research is still going on.

Reactive Machine – This machine responds quickly to a situation. It is not able to store any data for present or future use. It works according to the fed data.

Limited Memory – This machine can store smaller amount of data for a limited period. Examples are self-driving cars and video games.

Theory of Mind – These are the machines which would understand human emotions. But these types of machines have not yet developed.

Self Awareness – These types of machines attributes to a better working than that of human beings. To date, no such machine has been developed.

There are continuous efforts being made in the direction of artificial intelligence. Many of the machines with artificial intelligence are available today, they make our work easier. People with less knowledge can gain a lot of help due to the development of several devices equipped with artificial intelligence. The development of Artificial intelligence can be used to solve criminal cases.

Essay on Artificial Intelligence

FAQs: Frequently Asked Questions

Ans . Artificial Intelligence means making the machine intelligent and work like human beings.

Ans . John McCarthy is known as the Father of Artificial intelligence.

Ans . The USA has the most advanced Artificial intelligence.

Ans . Artificial intelligence started in India in 1956.

Ans . Python, R, Lisp, Prolog, Java, are the programming languages in AI.

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In this topic, we are going to provide an essay on Artificial Intelligence. This long essay on Artificial Intelligence will cover more than 1000 words, including Introduction of AI, History of AI, Advantages and disadvantages, Types of AI, Applications of AI, Challenges with AI, and Conclusion. This long essay will be helpful for students and competitive exam aspirants.

Artificial Intelligence is a combination of two words Artificial and Intelligence, which refers to man-made intelligence. Therefore, when machines are equipped with man-made intelligence to perform intelligent tasks similar to humans, it is known as Artificial Intelligence. It is all about developing intelligent machines that can simulate the human brain and work & behave like human beings.

We can define AI as, " ."

With AI, machines can have human-based skills such as learning, reasoning, and solving logical problems.

AI is one of the fastest-growing technology that is making human life much easier by providing solutions for complex problems. It has also brought different opportunities for everyone, and hence it is a very demanding technology in the market.

Artificial intelligence is assumed a new technology, but in reality, it is not new. The researchers in the field of AI are much older. It is said that the concept of intelligent machines was found in Greek Mythology. Below are some keystones in the development of AI:

and proposed a model of Artificial neurons. a "Computer Machinery and Intelligence" paper in which he introduced a test, known as a This test is used to determine intelligence in machines by checking if the machine is capable of thinking or not. at the Dartmouth Conference. John McCarthy is also known as the was created in Japan. , AI came into the business world. World's top companies like Facebook, Twitter, and Netflix also started using AI in their applications. :

Narrow AI or Weak AI is a basic kind of Artificial Intelligence, which is capable of completing dedicated tasks with intelligence. The current version of AI is narrow AI.

Narrow AI can only perform the specific task and not beyond its limitation, as they are trained for one task only. It is programmed to do a specific task such as Play Chess, Checking Weather, etc.

Artificial General intelligence or "Strong" AI defines the machines that can show human intelligence. We can say, Machines with AGI can successfully perform any intellectual task that a human can do. This is the sort of AI that we see in movies like "Her" or other sci-fi movies in which humans interact with machines and operating systems that are conscious, sentient, and driven by emotion and self-awareness.

Currently, this type of intelligence does not exist in the real world and only exist in researches and movies. However, researchers across the world are working to develop such machines, which is still a very difficult task.

Super AI refers to AI that is self-aware, with cognitive abilities that surpass that of humans. It is a level where machines are capable of doing any task that a human can do with cognitive properties. However, Super AI is still a hypothetical concept, and it is a challenging task to develop such AI-enabled machines.

Reactive machines are the basic types of AI, which don't store memories or past experiences for their actions. These types of AI machines only focus on current scenarios and work as per the requirement with the best possible actions. IBM's Deep Blue is an example of a reactive machine.

Limited memory can store some memory or past experiences for a limited time period. Some examples of limited memory are Self-driving cars.

Theory of Mind is the type of AI which are capable of understanding human emotions, and interact with the human in their way. However, such AI machines are yet not developed, and developers and researchers are making efforts for creating such AI-enabled machines.

Self-awareness AI is the future of Artificial Intelligence, which will have its own awareness, sentiments, and consciousness. This AI is only a hypothetical concept and will take a long journey and challenges to create such AI.

AI is widely used in Gaming. Different strategic games such as Chess, where the machine needs to think logically, and video games to provide real-time experiences use Artificial Intelligence.

Artificial Intelligence is commonly used in the field of Robotics to develop intelligent robots. AI implemented robots use real-time updates to sense any obstacle in their path and can change the path instantly. AI robots can be used for carrying goods in hospitals and industries and can also be used for other different purposes.

In the healthcare sector, AI has diverse uses. In this field, AI can be used to detect diseases and cancer cells. It also helps in finding new drugs with the use of historical data and medical intelligence.

Computer vision enables the computer system to understand and derive meaningful information from digital images, video, and other visual input with the help of AI.

AI is now widely used in Agriculture; for example, with the help of AI, we can easily identify defects and nutrient absences in the soil. To identify these defects, AI robots can be utilized. AI bots can also be used in crop harvesting at a higher speed than human workers.

AI is one of the widely used and demanding technologies in the E-commerce industry With AI, e-commerce businesses are gaining more profit and grow in business by recommending products as per the user requirement.

Different social media websites such as Facebook, Instagram, Twitter, etc., use AI to make the user experiences much better by providing different features. For example, Twitter uses AI to recommend tweets as per the user interest and search history.

As a beginner, below are some of the prerequisites that will help to get started with AI technology.

One of the big challenges with AI is that we don't have enough data to work with AI systems, or data we have is of poor quality or unstructured. AI depends on data for its working and requires a huge amount of data for a good result, but in the real world, data is available either in raw form or unstructured form that contains lots of impurities and missing values that cannot be processed or analyzed. Hence the processing of such data is a big task for organizations, and it takes lots of effort and is a time-consuming process.

There is still a lack of IT infrastructures, mainly in start-ups, which is a big issue in AI researches and development.

AI is growing continuously day by day with rapid speed, and more people are accepting the proven ideas of AI. The growing rate of AI also needs developers of AI tech. However, the professionals with full scales skills to develop high-level AI implementations are still lacking, which is also one of the big challenges with AI.

Computing power has always been a big issue in the IT industry, but day by day, this issue has been resolved. However, with the development of AI, this issue has arisen again. Deep learning and the processing of neural networks, which are part of AI, require a high level of computing power, and are a major challenge for the tech industries. Mainly for start-ups, collecting money and such high computing power to process the data is a big deal.

One of the latest challenges with AI is that now organizations need to be wary of AI. The legal issues are raised for concern that if AI collects sensitive data, that may be a violation of federal laws.

Although it is not illegal, industries need to be careful of any supposed impact that might negatively affect their organization.

Artificial Intelligence is undoubtedly a trending and emerging technology. It is growing very fast day by day, Due to its high performance and as it is making human life easier, it is becoming a highly demanded technology among industries. However, there are also some challenges and problems with AI. Many people around the world are still thinking of it as a risky technology, because they feel that if it overtakes humans, it will be dangerous for humanity, as shown in various sci-fi movies. However, the day-to-day development of AI is making it a comfortable technology, and people are connecting with it more. Therefore, we can conclude that it is a great technology, but each technique must be used in a limited way in order to be used effectively, without any harm.





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Home — Essay Samples — Information Science and Technology — Modern Technology — Artificial Intelligence

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Essays on Artificial Intelligence

Artificial intelligence essay topics for college students.

Welcome, college students! Writing an essay on artificial intelligence can be an exciting and challenging task. The key to a successful essay lies in selecting the right topic that sparks your interest and allows you to showcase your creativity. In this resource page, we will provide you with a variety of essay types and topics to help you get started on your AI essay journey.

Argumentative Essay Topic for Artificial Intelligence Essays

  • The ethical implications of AI technology
  • The impact of AI on job automation
  • Regulating AI development for societal benefits

Introduction Paragraph Example: Artificial intelligence has revolutionized the way we interact with technology, raising important ethical questions about its implications on society. In this essay, we will explore the ethical challenges of AI technology and discuss the need for regulations to ensure its responsible development.

Conclusion Paragraph Example: In conclusion, it is evident that the ethical implications of AI technology are multifaceted and require careful consideration. By implementing regulations and ethical guidelines, we can harness the benefits of AI while minimizing its potential risks.

Compare and Contrast Essay Topics for Artificial Intelligence

  • The differences between narrow AI and general AI
  • Comparing AI in science fiction to real-world applications
  • The impact of AI on different industries
  • AI vs. human intelligence: Strengths and weaknesses
  • Machine learning vs. deep learning
  • AI in healthcare vs. AI in finance
  • AI-driven automation vs. traditional automation
  • Cloud-based AI vs. edge AI
  • The role of AI in developed vs. developing countries
  • AI in education vs. AI in entertainment

Introduction Paragraph Example: The field of artificial intelligence encompasses a wide range of technologies, from narrow AI systems designed for specific tasks to the hypothetical concept of general AI capable of human-like intelligence. In this essay, we will compare and contrast the characteristics of narrow and general AI to understand their implications on society.

Conclusion Paragraph Example: Through this comparison, we have gained insights into the diverse applications of AI technology and the potential challenges it poses to various industries. By understanding the differences between narrow and general AI, we can better prepare for the future of artificial intelligence.

Descriptive Essay Essay Topics for Artificial Intelligence

  • The role of AI in healthcare advancements
  • The development of AI algorithms for autonomous vehicles
  • The applications of AI in natural language processing
  • The architecture of neural networks
  • The evolution of AI from the 20th century to today
  • The ethical implications of AI decision-making
  • The process of training an AI model
  • The impact of AI on the job market
  • The future potential of quantum AI
  • The role of AI in personalized marketing

Introduction Paragraph Example: AI technology has transformed the healthcare industry, enabling innovative solutions that improve patient care and diagnosis accuracy. In this essay, we will explore the role of AI in healthcare advancements and its impact on the future of medicine.

Conclusion Paragraph Example: In conclusion, the integration of AI technology in healthcare has the potential to revolutionize the way we approach patient care and medical research. By leveraging AI algorithms and machine learning capabilities, we can achieve significant advancements in the field of medicine.

Persuasive Essay Essay Topics for Artificial Intelligence

  • Promoting diversity and inclusion in AI development
  • The importance of ethical AI education in schools
  • Advocating for AI transparency and accountability
  • The necessity of regulating AI technology
  • Why AI should be used to combat climate change
  • The benefits of AI in improving public safety
  • Encouraging responsible AI usage in social media
  • The potential of AI to revolutionize education
  • Why businesses should invest in AI technology
  • The role of AI in enhancing cybersecurity

Introduction Paragraph Example: As artificial intelligence continues to permeate various aspects of our lives, it is essential to prioritize diversity and inclusion in AI development to ensure equitable outcomes for all individuals. In this essay, we will discuss the importance of promoting diversity and inclusion in AI initiatives and the benefits it brings to society.

Conclusion Paragraph Example: By advocating for diversity and inclusion in AI development, we can create a more equitable and socially responsible future for artificial intelligence. Through ethical education and transparent practices, we can build a foundation of trust and accountability in AI technology.

Narrative Essay Essay Topics for Artificial Intelligence

  • A day in the life of an AI researcher
  • The journey of building your first AI project
  • An imaginary conversation with a sentient AI being
  • The story of a world transformed by AI
  • How AI solved a major global problem
  • A personal encounter with AI technology
  • The evolution of AI in your lifetime
  • The challenges faced while developing an AI startup
  • A future where AI coexists with humans
  • Your experience learning about AI for the first time

Introduction Paragraph Example: Imagine a world where artificial intelligence blurs the lines between human and machine, offering new possibilities and ethical dilemmas. In this narrative essay, we will embark on a journey through the eyes of an AI researcher, exploring the challenges and discoveries that come with pushing the boundaries of technology.

Conclusion Paragraph Example: Through this narrative journey, we have delved into the complexities of artificial intelligence and the ethical considerations that accompany its development. By embracing the possibilities of AI technology while acknowledging its limitations, we can shape a future that balances innovation with ethical responsibility.

Hooks for Artificial Intelligence Essay

  • "Imagine a world where machines not only perform tasks but also think, learn, and make decisions just like humans. Welcome to the era of Artificial Intelligence (AI), a revolutionary force reshaping our future."
  • "From self-driving cars to smart personal assistants, AI is seamlessly integrating into our daily lives. But what lies beneath this cutting-edge technology, and how will it transform the way we live and work?"
  • "As AI continues to advance at an unprecedented pace, questions about its ethical implications and impact on society become more urgent. Can we control the intelligence we create, or will it control us?"
  • "AI is not just a futuristic concept confined to science fiction. It’s here, and it’s real, influencing industries, healthcare, education, and even our personal lives. How prepared are we for this technological revolution?"
  • "The debate over AI is heating up: Will it lead to a utopian society with endless possibilities, or is it a Pandora's box with risks we have yet to fully understand? The answers may surprise you."

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Artificial Intelligence: Good and Bad Effects for Humanity

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The Possibility of Humanity to Succumb to Artificial Intelligence

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Artificial Intelligence: Applications, Advantages and Disanvantages

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Artificial intelligence (AI) refers to the intellectual capabilities exhibited by machines, contrasting with the innate intelligence observed in living beings, such as animals and humans.

The inception of artificial intelligence research as an academic field can be traced back to its establishment in 1956. It was during the renowned Dartmouth conference of the same year that artificial intelligence acquired its distinctive name, definitive purpose, initial accomplishments, and notable pioneers, thereby earning its reputation as the birthplace of AI. The esteemed figures of Marvin Minsky and John McCarthy are widely recognized as the founding fathers of this discipline.

  • The term "artificial intelligence" was coined in 1956 by computer scientist John McCarthy.
  • McKinsey Global Institute estimates that by 2030, automation and AI technologies could contribute to a global economic impact of $13 trillion.
  • AI is used in various industries, including healthcare, finance, and transportation.
  • The healthcare industry is leveraging AI for improved patient care. A study published in the journal Nature Medicine reported that an AI model was able to detect breast cancer with an accuracy of 94.5%, outperforming human radiologists.
  • Ethical concerns surrounding AI include privacy issues, bias in algorithms, and the potential for job displacement.

Artificial Intelligence is an important topic because it has the potential to revolutionize industries, improve efficiency, and enhance decision-making processes. As AI technology continues to advance, it is crucial for society to understand its implications, both positive and negative, in order to harness its benefits while mitigating its risks.

1. Russell, S. J., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach (3rd ed.). Prentice Hall. 2. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. 3. Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. Viking. 4. Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press. 5. Chollet, F. (2017). Deep Learning with Python. Manning Publications. 6. Domingos, P. (2018). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books. 7. Ng, A. (2017). Machine Learning Yearning. deeplearning.ai. 8. Marcus, G. (2018). Rebooting AI: Building Artificial Intelligence We Can Trust. Vintage. 9. Winfield, A. (2018). Robotics: A Very Short Introduction. Oxford University Press. 10. Shalev-Shwartz, S., & Ben-David, S. (2014). Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press.

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Essay on Artificial Intelligence Pros and Cons

Students are often asked to write an essay on Artificial Intelligence Pros and Cons 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 Artificial Intelligence Pros and Cons

Introduction.

Artificial Intelligence (AI) is a fast-growing technology. It’s about creating machines that think and learn like humans. But, like everything, AI has its pros and cons.

AI is smart and fast. It can handle tasks that take humans a long time. It can work 24/7 without getting tired. AI can also learn from its mistakes, improving over time.

However, AI also has downsides. It can take jobs from people. It might make mistakes that humans wouldn’t. And, if it’s not used correctly, AI can be a threat to privacy.

In conclusion, AI is a powerful tool. It has many benefits but also challenges. As we continue to develop and use AI, we must be mindful of its impact.

250 Words Essay on Artificial Intelligence Pros and Cons

Pros of artificial intelligence.

AI contributes enormously to efficiency and productivity. Automated systems can perform repetitive tasks, freeing up human time for more complex problem-solving activities. AI can also process vast amounts of data far more quickly than a human, leading to faster decision-making.

AI has the potential to revolutionize healthcare through improved diagnostics and personalized medicine. In education, AI can provide personalized learning paths, enhancing the learning experience.

Cons of Artificial Intelligence

Despite these advantages, AI also has significant drawbacks. One of the main concerns is job displacement. With AI capable of automating many tasks, there is a fear that people will be pushed out of jobs.

Another concern is the ethical implications of AI. There are fears about privacy invasion and misuse of personal data. Additionally, the decision-making process of AI is often opaque, leading to concerns about accountability and bias.

In conclusion, while AI has the potential to greatly improve efficiency and productivity, it also raises important ethical and societal concerns. As we continue to develop and integrate AI into our society, it is crucial that we consider these issues and work towards solutions that balance the benefits and drawbacks of this powerful technology.

500 Words Essay on Artificial Intelligence Pros and Cons

The pros of artificial intelligence.

AI has numerous advantages that make it a valuable asset in various sectors.

Efficiency and Productivity

AI systems can perform tasks with greater speed and accuracy than humans, thereby increasing efficiency and productivity. They can process vast amounts of data, make complex calculations, and execute tasks tirelessly, which makes them ideal for fields like finance, healthcare, and manufacturing.

Automation and Economic Growth

Enhanced decision making.

AI can enhance decision-making by providing accurate predictions and insights from large datasets. This can benefit fields like meteorology, where accurate weather predictions can save lives and resources, or in healthcare, where AI can aid in diagnosing diseases.

The Cons of Artificial Intelligence

Despite its advantages, AI also has potential downsides that warrant careful consideration.

Job Displacement

Security and privacy concerns.

AI systems are vulnerable to cyber-attacks which can lead to data breaches. Moreover, the use of AI in surveillance and data analysis can infringe upon privacy rights, raising ethical concerns.

Lack of Emotional Intelligence

AI lacks emotional intelligence. It can’t understand human emotions or social cues, which limits its effectiveness in jobs requiring emotional sensitivity or complex human interaction.

Artificial Intelligence presents a paradox of immense potential and significant challenges. Its ability to enhance efficiency and productivity, automate tasks, and improve decision-making is counterbalanced by potential job displacement, security and privacy concerns, and the lack of emotional intelligence. As we continue to develop and integrate AI into our lives, it’s crucial to address these issues to ensure that the benefits outweigh the disadvantages. The future of AI should be shaped by a balanced approach that considers both its pros and cons.

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essay on artificial intelligence class 12

Artificial Intelligence Advantages and Disadvantages Essay

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History of Artificial Intelligence

Current ai uses, future of ai, artificial intelligence opinion piece, works cited.

A defining characteristic of the last century has been the numerous significant technological advancements made. Most of these advances were facilitated by the invention of the computer, making computer science a critical discipline in modern times. One fascinating and promising branch of computer science is Artificial Intelligence (AI).

This is an interdisciplinary branch of the science that borrows from a wide range of fields including cognitive psychology, engineering, mathematics, linguistics, and philosophy. The field aims at exploring and developing ways in which computer systems can be made to act in a manner that human beings recognize as “intelligent”.

The term “artificial intelligence” was coined in 1956 following concerted interest by scientists from various backgrounds on symbolic processing and computer simulation of human behavior (Palmer 2). While AI as a discipline began in the mid-1950s, its foundations were laid earlier on by a number of prominent British scientists. The 19th century British mathematician Charles Babbage formulated the first computing engine, which served as the precursor of the modern digital computer.

The 19th century Mathematician-logician George Boole invented Boolean algebra, which was used in the operation of digital computer. Last and most important was the British logician-mathematician, Alan Turin, who proposed computer programs based upon logical operators. The proposed machines were capable of interacting and manipulating symbols that included natural language. Palmer reveals that from Turin’s idea or a universal programmable computer, the ideal of AI arose (2).

The initial goals of AI researchers were very ambitious. In the early years of the field, AI scientists sort to fully duplicate the human capacities of thought and language on the digital computer (Palmer 2). Some of the researchers involved in AI projects went so far as to claim that a complete theory of intelligence would be achieved by the late 1960s.

As it turned out, the AI programs did not achieve the momentous results promised. The initial efforts led to the successful design of programs that could prove theorems in symbolic logic. However, the projects failed to succeed in automatic language translation leading to a loss of funding to expert systems, which did not attempt to explain human intelligence but had great practical applications.

There was a regeneration of interest in AI over the 1970s and 1980s as researchers in the US and Europe engaged in expansive studies exploring intuitions about intelligence (Geffner 45). During this period, computer scientists had reduced the ambitions of AI to theories of more modest scope. The quest for certainty and truth had been abandoned for “micro-truths” that can be obtained though common sense introspection.

As opposed to the past where AI research was concentrated on understanding the nature of intelligence, greater emphasis was given to practical application (Palmer 2). The 21st century has witnessed great advances in AI with systems being developed for practical applications.

The past two decades have witnessed an increase in the number of practical AI uses. One area where AI is used with increasing frequency is speech recognition. Computer systems are programmed to understand human natural language and respond to it. Speech recognition is difficult to achieve since human speech is impeded by many factors including accents, slang words, and background noise. As such, computer systems have to have some level of intelligence in order to correctly recognize human voice.

Speech recognition programs have to be trained to understand the particular speech pattern of a user (Geffner 46). After the training, the program can be used for a wide array of practical uses. It can be used to give voice commands to smart vehicles. Smart phones also utilize speech recognition to write text messages or initialize phone calls.

AI has also been used in the creation of intelligent robots that perform a number of tasks. Typical robots, such as those ones used in vehicle assembly are not intelligent in that they are programmed to perform specific tasks in a repetitive manner. AI technology used to make a robot includes artificial neural network, knowledge based system and all possible decision making systems (Bongard 75).

As a result of this, the intelligent robots can adjust to the natural environment and learn from mistakes. These robots have been used for the exploration of unknown environment including distant planets. Using AI, the robot is able to utilize the input from its many different sensors to adapt to the conditions.

The medical field employs AI in medical diagnosis. By use of artificial neural networks, medical professionals are aided in their decision making process. In addition to this, AI helps in the interpretation of medical images and can accurately detect conditions such as tumors (Bongard 80). A knowledge based system that has captured and embedded explicitly human knowledge can be used to suggest treatment options for patients. AI reduces the risk of wrong prescriptions by a physician.

Artificial intelligence is employed in the development of accounting systems. Specifically, AI has been exploited in auditing, taxation, and decision making support. Moudud reveals that neural networks, genetic algorithms, and knowledge-based systems are being used to detect fraud and perform risk analysis (10). By going though vast amounts of data, AI systems are able to identify patterns and therefore highlight irregularities. AI systems have also been used for bankruptcy prediction. Moudud explains that intelligent techniques are used to develop models capable of predicting business failure cases (16).

Artificial intelligence is also used to access the safety of bridges. The structural integrity of bridges is important since their collapse might be disastrous. Shuster explains that by using neural network computing, engineers are able to compare the properties of cracks in beams with the stiffness and thereby compute a health index (40). By using AI, the objectivity of bridge health assessment is assured since the computer does not suffer from the bias that an inspector might have.

While AI has greatly advanced since it was first conceived in the 1950s, the field has not achieved the goal of creating machines that can solve problems independently like humans and learn and improve from each encounter (Bongard 74). However, researchers predict some significant breakthroughs in AI in the future.

Advances are being made to improve the speech recognition abilities of machines. With technological advances, intelligent machines are predicted to not only be able to recognize and communicate fluently in natural language but also detect emotions and respond to them (Bongard 76). Emotion detection and emulation will be a great advancement in AI since it closely mimics human behavior.

AI researchers are working on creating systems that not only analyze vast amounts of data and come up with “intelligent” solutions, but systems that can come up with ideas. Such systems would be able to mimic human intelligence through their perceptiveness (Geffner 45). In addition to this, there are projects aimed at creating machines that have some level of self-awareness in the same way that humans do. While these projects are still in their infancy, it is hoped that as huge technological advances are made, there will be sufficient processing power available to achieve such goals.

In terms of uses, there are many possible applications of AI in the future. Researchers are already working on intelligent power grids. These smart power grids will utilize neural networks to have electricity flowing in both directions (Geffner 50). The grid will be able to adjust electricity distribution dynamically in response to the changing demand in the various areas. The military is also exploring ways in which it can exploit AI in combat. Specifically, there are plans for introducing soldier robots that will be able to carry out fighting tasks currently undertaken by human beings. The AI fighting machines will be able to react to situations in the battlefield in the same way that humans do (Geffner 49). These machines will be able to discriminate between enemy combatants and innocent civilians. These machines will increase the efficiency of a country’s military force while reducing human casualty.

The field of AI has not advanced in the manner that its pioneers envisioned it would. Even so, Artificial Intelligence has exhibited growth and it has contributed in many of the technological advances made today. The future promises to bring even more engaging innovations in this field. Some AI researchers are hopeful that by 2050, systems that possess self awareness and are capable of producing independent thoughts will have been created. If this is achieved, Allan Turin’s vision of Artificial Intelligence will have been realized.

Artificial Intelligence is one of the fields where there exist differences in opinions about the overall benefits of the disciple to mankind. The negative views on AI stem from the supposed dangers that intelligent machines might present to man. Opponent of AI predict that as the field is advanced, self aware machines that can rise against man will be created. In the present, the opponents point out that AI is creating a condition where machines take over more jobs that could otherwise be performed by people. However, a careful look at the advances and applications of AI over the last few decades suggests that this field is making a positive contribution to human life.

Modern discoveries in remote regions including outer space have been greatly aided by AI. Using these systems, scientists have been able to discover unexplored places including the planet Mars. AI machines used for exploration are made such that they can endure hostile physical environments (Chatfield par 3). Their intelligence makes it possible for them to adapt to the real conditions in their environment and achieve the set scientific objectives.

Since there is no risk of harm to humans when using intelligent machines, scientists have been able to engage in the exploration of dangerous lands. Without AI, it would be impossible for exploration into distant or dangerous regions to be made since such activities would involve great risk to human life.

AI increases the efficiency with which work is performed. Whether intelligent machines are used independently or to assist humans, they result in added speed and accuracy of performing tasks (Moshe 5). For example, application of AI systems in the medical field can reduce unnecessary testing by predicting the impact that a medical test will have in the eventual decision making of the physician (Cismondi 345). The risk of error is also decreased since AI machines can have a knowledge base that will be utilized to highlight errors.

Intelligent machines can perform better in activities that require decision making since they are not prone to bias. Once the machine learns how to perform a task, it can be expect to keep performing consistently without error. The machine will always make the rational decision since its judgment is not clouded (Moshe 5). The lack of emotion also means that AI systems can be relied upon to think logically at all times. Objectivity is therefore ensured when AI systems are employed.

AI has contributed to the high rate of technological advances currently being enjoyed. AI machines have been used to make many computer models that have been used for various innovative purposes (Tseng 465). The high degree of accuracy and the speed with which this modeling has occurred has speeded up the making of technological and scientific discoveries. It can be expected that as more AI systems are implemented, these technological growth rate will increase thereby benefiting humankind even more.

The human civilization is enjoying many benefits because of AI. These advantages have led to increased interest in advancing the field. At the present, AI is considered to be in its infancy stage and it is expected that as the field advances, many more applications of these systems will be developed. These developments will be harnessed to benefit.

Chatfield, Tom. Artificial intelligence: The machines with alien minds. 2013.

Cismondi, Federico. “Reducing unnecessary lab testing in the ICU with artificial intelligence.” International Journal of Medical Informatics 82.5 (2013): 345-358.

Moshe, Vardi. Artificial Intelligence: Past and Future . Communications of the ACM 55.1 (2012)5-6.

Tseng, Chun. “Patent analysis for technology development of artificial intelligence: A country-level comparative study.” Innovation: Management, Policy & Practice 15.4 (2013): 463–475. Print.

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Essay on Artificial Intelligence in English 1000 Words

essay on artificial intelligence

Today, we are going to discuss an interesting topic “Essay on Artificial Intelligence in English”. In this article, we provide complete information about Artificial Intelligence Essay such as Introduction, Impact of AI, Global Development in AI, Advantages & Disadvantages of AI, Application of AI, Challenges in AI, and many more. Read the article till the end for complete details about AI.

All important information about Artificial Intelligence Essay is discussed in this article. Read the article till the end for complete information regarding AI.

Essay on Artificial Intelligence in English for Students

This long essay on Artificial Intelligence in English is suitable for students of classes 5, 6, 7, 8, 9 and 10, 11, 12, and also for competitive exam aspirants. Read and enjoy the complete essay about artificial intelligence.

Introduction

Essay on Artificial Intelligence – Artificial intelligence is a volume of computer science that highlights the creation of intelligent technologies that work and responds like humans. Some of the technologies that can allow these systems in analyzing and understanding all the information that is received are natural language processing and inference engines.

essay on Artificial Intelligence

Artificial intelligence is a system that provides action through technologies such as expert systems and inference engines to operate in the physical world.

Artificial Intelligence is being increasingly used in numerous fields like medical diagnosis, robots, stock trading, scientific discovery, and the automobile industry.

What is Artificial Intelligence

Artificial intelligence is a branch of computer science that aims to create intelligent machines. Artificial intelligence is the simulation of human intelligence processes by machines based on computer systems. These processes include learning, which is the acquisition of information and rules for using information, reasoning which is using rules to reach predictable or definite conclusions, and self-correction.

Impact of Artificial Intelligence

Artificial intelligence has emerged as a new factor of production, complementing the traditional factors of production such as labor, capital, and innovation. AI has the potential to cross the boundaries of capital and labor and open up new sources of value and growth.

Artificial Intelligence innovations in one area have positive results in another, as the industrial sectors are interdependent. Economic value is expected to be created from new goods, services, and innovations produced by AI. Beyond the economic impact, Artificial Intelligence will also have a transformative impact on larger items of Indian society. It will be improving the quality of life and access of choice to a large section of the country.

Artificial Intelligence has a huge potential to transform the socio-economic system as its impact on every industrial or service sector is undeniable. It will give a new place to the world through automation, intelligence, and creation. Thus, it will make some jobs redundant, while it increases the efficiency of other jobs and creates more jobs.

Global Developments in Artificial Intelligence

The economic and social benefits of applied Artificial Intelligence (AI) are Familiar in all the world countries. In the area of core research in Artificial Intelligence and related technologies, universities and research institutions from the United States, China, and Japan have led the publication volume on AI research topics between 2010 and 2016.

The potential of Artificial Intelligence (AI) Governance structures for enabling all the above mandates across countries. Many countries have established dedicated public offices such as the Ministry of AI (UAE), and the Artificial Intelligence and AI Council (U.K.), while Japan and China has allowed existing ministries to implement artificial intelligence in their sectoral areas.

Advantages of Artificial Intelligence (or Pros of AI)

  • Artificial Intelligence mainly helps us in Error Reduction as the machines work in a more systematic way than humans, which gives us a Higher Degree of Precession.
  • In daily applications like Alexa, Google Assistant, and Siri which are known as Digital Assistants, Artificial Intelligence is helping humans to lead a better life at no extra cost.
  • Artificial Intelligence based machines can take over Repetitive Jobs which are monotonous in nature, which expands human creativity and productivity in some other fields.
  • Artificial Intelligence programmed robots can perform more Laborious Hard Work than human beings, as humans are subjected to tiredness, fatigue, etc.

The disadvantage of Artificial Intelligence (or Cons of AI)

  • Artificial Intelligence systems are very expensive to develop and maintain.
  • As we have limited data and resources, Artificial Intelligence cannot replicate the Human Level of Intelligence.
  • Artificial Intelligence is Data Hungry. The more accurate data you feed during the machine learning process, the more accurate your results will be.
  • Expert says Artificial Intelligence can replace all Boring, Repetitive, and Labour Intensive work.
  • Artificial Intelligence cannot be Creative as we Humans.

Application of Artificial Intelligence (AI)

  • Agriculture

Artificial Intelligence has a major role to play in driving a food revolution and meeting the increased demand for food. Applied Artificial Intelligence addresses challenges such as lack of assured irrigation, inadequate demand prediction, and excess use of pesticides, fertilizers, and fungicides. Some uses include better crop production through detecting pest attacks, forecasting crop prices, and real-time advice.

  • Manufacturing

It can enable flexible and adaptable technical systems to facilitate various processes and machinery to respond to unfamiliar or unpredictable situations by making “smart decisions” through flexible and adaptable technical systems. Areas of influence include engineering, supply chain management, production, maintenance, quality assurance, and plant logistics and warehousing.

Artificial Intelligence plays an important role in the field of healthcare by addressing issues of high barriers, particularly in rural areas that lack poor communication and a professional healthcare system. Some of the emerging applications include AI-driven diagnostics, personalized treatment, early detection of potential epidemics, and imaging diagnostics.

Being one of the early adopters of Artificial Intelligence solutions, it provides applications such as developing user experience through personalized suggestions, image-based product search, and preference-based browsing.

  • Education and Skilling

Artificial Intelligence provides the need for student intervention to provide solutions to quality and accessibility issues in the Indian education sector and enhance the learning experience through personalized learning, automate and expedite administrative tasks, and reduce dropouts.

  • Smart Cities

The incorporation of applied Artificial Intelligence in developing cities could also help in meeting the demands of a rapidly growing population and providing them with enhanced quality of life. Traffic control for reducing congestion and enhanced security by providing improved crowd management are some of the potential uses of Artificial Intelligence systems.

AI and Creation of Better Paying Jobs

The use of artificial intelligence in the workplace is expected to create 133 million new roles, but 75 million jobs could be displaced by 2022, according to the World Economic Forum (WEF) report ‘The Future of Jobs Report. This means that the development of artificial intelligence could create 58 million net new jobs in the next few years. The areas where AI will have a positive impact are:

The education industry is slowly moving towards e-learning concepts such as smart content, online education , personalized learning, and other data-driven operations that rely heavily on AI. Hence, this Artificial Intelligence industry will need to hire a lot of AI and Machine Learning experts. Apart from these, new jobs will be created in the field of the gaming industry, robotics industries, and cyber security.

The demand for professional service talent will be increased, with an emphasis on technical talent dealing with communication, logic and construction, and computer technologies.

Artificial Intelligence is now helping companies generate more profits and grow their businesses and as a result, they will need a global workforce that can generate huge employment opportunities.

Challenges of Artificial Intelligence in India

  • Lack of sufficient talent to build and deploy artificial intelligence systems at scale. There is an estimated claim that only 4 percent of Artificial Intelligence professionals in India work on emerging technologies like deep learning and neural networks. There is also a significant difference in Ph.D. research scholars in the field.
  • Expensive cost and low availability of computing infrastructure required for the development, training, and deployment of AI-based services. Cloud infrastructure , through rapid growth, has limited capability.
  • Concern over data privacy and security, including lack of formal regulation around data anonymity.
  • The lack of AI awareness in resolving business-related issues in most public enterprises and government agencies has led to a shortage of AI professionals in obstructing adoption.
  • Lack of infrastructure is the major cause of many Indian AI start-ups aiming to involve their businesses outside the country, thus, making AI out of the reach of Indian researchers in government laboratories and in many industries.

Conclusion about AI

Every new invention has some positive and negative aspects but we must use the positive aspects of the invention to create a better world. Some even say that artificial intelligence can destroy human civilization if it goes into the wrong hands. But still, no artificial intelligence application was created that could destroy humanity from the earth.

In this way, in the medium and long term, AI will produce better-paying jobs and enhance and develop the human resource of the country and the world.

Frequently Asked Questions (FAQ)

What is Artificial Intelligence?

Artificial intelligence is a volume of computer science that highlights the creation of intellectual technologies that work and responds like humans.

What are the advantages of Artificial Intelligence?

1. Artificial Intelligence mainly helps us in Error Reduction as the machines work in a more systematic way than humans, which gives us a Higher Degree of Precession. 2. In daily applications like Alexa, Google Assistant, and Siri which are known as Digital Assistants, AI is helping humans to lead a better life at no extra cost. 3. AI-based machines can take over Repetitive Jobs which are monotonous in nature, which expands human creativity and productivity in some other fields. 4. AI-programmed robots can perform more Laborious Hard Work than human beings, as humans are subjected to tiredness, fatigue, etc.

What are the disadvantages of Artificial Intelligence?

1. Artificial Intelligence systems are very expensive to develop and maintain. 2. As we have limited data and resources, AI cannot replicate the Human Level of Intelligence. 3. AI is Data Hungry. The more accurate data you feed during the machine learning process, the more accurate your results will be. 4. Expert says AI can replace all Boring, Repetitive, and Labour Intensive work.

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CBSE Class 12 Artificial Intelligence Question Papers

essay on artificial intelligence class 12

CBSE Class 12 Artificial Intelligence Question Papers are given below. CBSE Previous Year Question Papers of Class 12 with Solutions are released by the board on its official website.

  • 1 CBSE Class 12 Artificial Intelligence Question Papers
  • 2 Here are some Preparation Tips for Students for the Class 12 Board Exams:
  • 3 Important Links for CBSE Class 12 Artificial Intelligence

CBSE Question Paper Class 12 is provided below for Artificial Intelligence.

Question Papers

To download CBSE Artificial Intelligence Question Paper Class 12 PDF file simply click on the link and open the paper. Once the paper is opened you can save the PDF file on your computer/mobile. Also, you can directly print it using a printer. CBSE Previous Year Question Paper Class 12 Artificial Intelligence must be used for examination preparation. 

Here are some Preparation Tips for Students for the Class 12 Board Exams:

  • Go through all the CBSE Class 12 Artificial Intelligence previous year question papers thoroughly.
  • Prepare a strategy to complete all your syllabus within time – which sections you’ll do first and which in the end.
  • Start attempting the papers only when you are confident that you can attempt 90% of the questions.
  • Do not leave anything for the last minute. Start preparing and practicing the concepts you find difficult soon after completing every chapter.
  • The most important part is checking your answers. Be honest, focus on your mistakes, and try not to repeat them.

Important Links for CBSE Class 12 Artificial Intelligence

CBSE Class 12 Artificial Intelligence NCERT Solutions
CBSE Class 12 Artificial Intelligence NCERT Books in English
CBSE Class 12 Artificial Intelligence NCERT Books in Hindi
CBSE Class 12 Artificial Intelligence Sample Papers

Using these resources, you would be able to pass your CBSE Board class 12 examination with flying colors.

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Essay on Artificial Intelligence

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Introduction : In the words of the famous Daniel Bell, “Technology, like art, is the soaring exercise of human imagination.” It is difficult to imagine the world today without the internet and cellphones, but this has not always been the case. It has taken three centuries and four industrial revolutions to reach the world we live in today! Modern technology has become so advanced that it is on the brink of replacing human activities and emotions. One such advanced form of technology includes AI or Artificial Intelligence.

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What is Artificial Intelligence ? Artificial Intelligence refers to the branch of technology that can process information and make decisions without human supervision. Researchers have been working hard on the technology for a long time, and they still have a long road ahead of them, but AI has now become an integral part of our daily lives. Many useful features such as navigation apps, video suggestions, facial recognition, and smart assistants are a by-product of artificial intelligence.

Classifications of Artificial Intelligence : According to Arend Hintze, there are four broad classifications of AI. The first includes ‘Reactive Machine’. These machines do not have any memory storage capacity but can process information and make situation-based decisions. These devices use algorithms and are frequently used in gaming software such as chess. It is easy for such programs to think of a million permutations and combinations and reach the most suitable outcome. Some of the gaming software based on AI is so advanced that even the champions of the field have to take a bow in front of them.

Essay on Artificial Intelligence

The second kind of AI is called ‘Limited Memory’ technology and has taken the entire world by storm. Not only can such devices take situation-based decisions, but they also store previously analyzed data for future reference. A good example of ‘limited memory’ technology is the video recommendation system on any video streaming platform. Once the AI figures out the likes and dislikes of the user, it can make decisions on the user’s behalf and recommend shows and videos as per the person’s interest. The ‘limited memory’ technology has become an easy way to influence and manipulate the masses as they use the thought process of the person himself. Although this is a revolutionary feat, it has also made people more vulnerable and prone to wasteful online shopping and other unnecessary activities.

The third kind of AI, which has not seen much progress yet, includes ‘Theory of Mind.’ The idea is to develop a technology that can store and process data and have a human-like thought process that will allow the machine to make essential decisions in times of crisis. Scientists are working relentlessly on this project and have come up with some humanoid robots, but the results have not been good enough to replace human work and services. However, we can hope in the future to have a lot of robots doing our bidding.

The fourth kind of AI is the ‘Self-awareness’ program which seems almost unachievable at the moment. It refers to the knowledge of identifying oneself from the surroundings. A machine that would be self-aware would have its own emotions and thought process. Just like any two humans, no two machines would be of the same kind. If someday in the future, science is able to evolve to the extent of creating ‘self-aware’ machines, the human race could achieve immortality. And although the idea sounds far-fetched, it has its supporters in many advanced scientists such as Stephen Hawking and Albert Einstein. They believed that it was possible to store and replicate human consciousness.

Conclusion :

AI has indeed made the world smaller and life more manageable. The distance that would take months to travel, a few years ago, can now be traversed in a matter of a few hours. There is no place on Earth that cannot be reached. AI has helped increase the longevity of the entire human population by making health facilities cheaper and more accessible. But like every coin has two faces, AI technology has its fair share of cons. We have become so addicted to our devices that we’ve replaced them for physical human interaction. Not only is AI taking away from our social life, but it is also affecting our health. Weak eyesight, obesity, and cardiovascular issues are just some of the diseases resulting from the continuous use of technology sitting in one place. It has also affected our ability to concentrate on the important stuff and takes away most of our time. Thus, one must be reasonable with using any sort of technology.

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Artificial Intelligence in Education Essay

essay on artificial intelligence class 12

Table of Contents

Artificial Intelligence in Education Essay – 200 Words

Imagine a classroom where each student gets personalised attention, where lessons adapt according to individual needs, and where feedback is instantaneous. This isn’t a futuristic dream but a reality made possible by Artificial Intelligence (AI) in education. AI is revolutionising the educational landscape, making it more interactive, efficient, and tailored.

For starters, AI-powered educational software can diagnose students’ strengths, weaknesses, preferences, and pace. It then crafts lessons best suited for them, ensuring that no one feels left out or overwhelmed. Think of it as a virtual teacher for every student.

Additionally, mundane tasks like checking homework or conducting routine tests can be managed by AI, giving educators more time to focus on complex teaching aspects. This means teachers can spend more time engaging with students, fostering creativity, and encouraging critical thinking.

Moreover, AI can make learning a global experience. With real-time translation tools, students from different parts of the world can learn together, breaking down language barriers and promoting cultural exchange.

In conclusion, AI in education is not about replacing teachers but enhancing their capabilities. It’s about ensuring that every student gets a chance to learn in the best way possible for them. The future of education is indeed bright, with AI leading the way.

Artificial Intelligence in Education Essay- 500- 700 words

Artificial intelligence in education – a new dawn in learning .

The idea of robots taking over the world has been a popular theme in science fiction. While those storylines are entertaining, the real transformation brought by artificial intelligence (AI) is not about robots ruling the world but rather about enhancing our day-to-day lives. One of the most promising areas where AI is making a mark is in education. Think of it not as a replacement for human teachers, but as a helpful assistant. Imagine the ‘Harry Potter’ world, but instead of magic, we have AI wands shaping the future of learning. Now, that’s interesting!

Where AI Steps In

Have you ever been in a classroom where some students are bored because they already understand the lesson, while others are struggling to keep up? Here is where AI comes to the rescue. It has the ability to customise learning for each student, ensuring that no one is left behind. Instead of a one-size-fits-all approach, AI adapts the curriculum to fit each student’s pace and style of learning. It’s like having a personal tutor for every student, without the extra cost.

Beyond Textbooks and Blackboards

Let’s face it, reading a thick textbook isn’t always the most exciting thing. AI can transform those plain texts into interactive sessions. Imagine learning about the solar system not just by reading or seeing pictures, but by virtually flying through it. Or understanding historical events by virtually living them. With AI, learning can become an adventure.

Data and Feedback- Knowing What Works

One of the underrated powers of AI is its ability to analyse data quickly. In the context of education, this means teachers can receive real-time feedback on what teaching methods work best for which student. If a student is struggling with a topic, the system can identify the problem area and adapt the teaching method accordingly. It’s like having a detective in the class, always looking out for clues to make learning better.

But What About Human Touch?

Now, some might say, “All this technology is good, but what about the human aspect of teaching?” Indeed, education is not just about information transfer but also about mentorship, guidance, and building relationships. And this is where we must understand that AI is not a replacement but a supplement. Just as calculators didn’t replace the need to learn maths, AI won’t replace teachers. Instead, it gives educators more tools to be even more effective and to focus on the aspects of teaching that truly require the human touch.

Preparing for the Future

Our world is changing rapidly. The jobs and skills required today are different from a decade ago, and they’ll undoubtedly evolve in the next decade. AI in education can ensure that students are always learning the most relevant skills in the most effective way. It’s like having a compass in the rapidly changing world of knowledge, always pointing students in the right direction.

In Conclusion

Imagine a school where every student feels understood, where learning is an adventure, and where everyone is prepared for the future, no matter how uncertain it may seem. That’s the promise AI brings to education. In this evolving narrative, both teachers and technology are the heroes. Together, they can craft a brighter, smarter, and more inclusive future for all students. The next time you hear about AI in education, remember it’s not about machines taking over; it’s about empowering every learner to soar higher than ever before.

Artificial Intelligence in Education Essay- 1000- 1200 words

Artificial intelligence in education- bridging dreams and reality.

“Imagine a classroom where the walls talk, books self-update, and every question you’ve ever had is answered before you even ask it. Welcome to the world of Artificial Intelligence in education.”

Education has been a cornerstone of human civilization, evolving with each generation. In the digital age, Artificial Intelligence (AI) stands as the new tutor, bridging the gap between traditional teaching and the futuristic dream of personalised learning.

What Is AI in Education?

When we talk about AI in education, it refers to the incorporation of technology into learning and teaching processes, with machines simulating human cognitive functions. Essentially, these machines are designed to think and make decisions somewhat like a human brain, albeit more objectively and based on a vast amount of data.

Understanding the Machine’s Role

Picture a smart assistant, somewhat akin to Siri or Alexa but specialized for education. This “educational assistant” understands a student’s learning habits, pace, and preferences, right down to the minutiae. For example, it knows whether a student learns better through videos or written content, their retention rate, and how often they need to revise to remember concepts. This kind of precise personalization was once a distant dream, but with AI, it’s now achievable.

How Is AI Making a Difference?

Personalized learning-.

  • Depth- AI’s power lies in its ability to process vast amounts of data. When a student interacts with an AI-enabled platform, the system is continually learning about the student. It notes the speed of response, the number of attempts to get a correct answer, the time spent on particular topics, and more.
  • Implementation- Consider e-learning platforms with AI capabilities. When a student consistently gets a particular kind of question wrong, the system recognizes this pattern and presents more of that type of question, giving the student ample practice. The system might also offer explanatory videos or resources tailored to the student’s needs.

Smart Content Creation-

  • Depth- Traditional textbooks are linear and generic. AI, however, can create dynamic content suited to individual needs.
  • Implementation- Imagine a digital textbook that reshuffles its content based on a student’s proficiency level. For a student struggling with a topic, the AI might introduce foundational content, infographics, or even quizzes. For advanced learners, it might provide more complex challenges and further readings.

Assisting Teachers-

  • Depth- AI isn’t just beneficial for students; it’s a boon for educators as well. It reduces administrative burdens and provides insights that can assist in teaching more effectively.
  • Implementation- Automated grading systems for multiple-choice and fill-in-the-blank questions are already in place in many institutions. Beyond grading, AI analytics can highlight which topics a significant portion of the class is struggling with, allowing the teacher to revisit or present the material differently.

Global Learning Platforms-

  • Depth- The world is becoming a global village, but language barriers have long been an impediment to universal education.
  • Implementation- Think of platforms that offer real-time translation, enabling a student to attend a lecture in any language and have it instantly translated into their native tongue. Furthermore, AI can adapt content to align with cultural nuances, making learning more relatable and effective.

The Flip Side – Delving Deeper

  • Data Privacy Concerns- At the heart of AI-driven education is data. By analysing student’s data, AI tools can customise lessons tailored to individual needs. However, this brings forward significant privacy concerns. There’s the ever-present threat of data breaches, where sensitive information can fall into the wrong hands. Moreover, if not used ethically, this data can be sold to third parties, leading to unwanted advertising targeted at vulnerable young minds. The pivotal question remains- Who has access to this data, and how is it being used?
  • Bias in AI- AI is trained using vast datasets. If these datasets are biassed, the AI system will also be biassed. This could lead to unfair categorizations or discriminations in educational settings. For instance, if a dataset suggests a particular demographic performs poorly in a subject, the AI might generalise this and not provide the necessary resources to students from that demographic, thus perpetuating the cycle.
  • Losing the Human Touch- A machine, no matter how advanced, cannot replicate the intricate nuances of human emotions. Teachers do more than just impart knowledge; they inspire, mentor, and understand the unsaid words of their students. Emotional intelligence, the ability to feel empathy, and the bonding that happens in a classroom setting cannot be coded into an AI. In a world where everything becomes automated, there’s a genuine fear that students might lose essential interpersonal skills.

The Road Ahead – A Detailed Perspective

  • Hybrid Model of Education- The future likely holds a blend of AI-driven tools and human touch, maximising the strengths of both. Think of AI as the efficient assistant providing data, analytics, and resources, and the human teacher as the mentor providing context, emotional support, and inspiration. This hybrid model can ensure personalised attention while retaining the essence of human connection.
  • Using AI Ethically and Wisely- It’s imperative that as we integrate AI into education, we set strict ethical guidelines. This includes transparency in how student data is used, ensuring data security, and actively working towards creating unbiased algorithms. Schools and educational institutions will need to work closely with tech providers to set these standards.
  • Balanced Curriculum- The curriculum of the future should not only integrate AI tools but also emphasise the development of soft skills like critical thinking, empathy, and teamwork. It’s not just about leveraging AI to improve academic performance but using it as a tool to foster holistic development. By placing equal emphasis on technical and human-centric subjects, we can ensure students are prepared for a world where they coexist with machines.

As we stand at the cusp of an educational revolution, let’s revisit our starting thought- a classroom where every query is addressed even before being voiced. Sounds magical, right? But magic, without control, can run amok.

“AI in education is not about replacing the human touch but enhancing it. It’s the bridge between dreams and reality, but let’s ensure we walk this bridge with caution, cherishing every human moment along the way.”

The questions remain- How do we strike the right balance? How do we ensure that while embracing the future, we don’t lose the essence of the past? As the story of AI in education unfolds, it’s our collective responsibility to script it wisely.

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Artificial Intelligence Essay

Read artificial intelligence essay in English language in 300 words. Know more about an essay on artificial intelligence for students of class 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, PTE and IELTS. Learn future of artificial intelligence essay which was asked in UPSC exam.

Artificial Intelligence Essay

Artificial Intelligence Essay 300 Words

Artificial intelligence is a next-gen intelligence incorporated into the machines that can respond according to the different situations. AI is considered comparable to the natural intelligence of human beings and artificially intelligent machines perform various functions such as learning, reasoning and solving problems. Specifically, artificial intelligence refers to the simulation of the human brain and reasoning which particularly solves and plan things according to the surrounding scenario. Artificial intelligence is one of the most innovative developments in the realm of technology and according to experts, Artificial intelligence will form the basis of our future generation.

Artificial intelligence is deemed to provide various benefits in different domains such as healthcare, banks, information technology, businesses and much more. Artificial intelligence has a noteworthy application in the healthcare realm wherein machines will operate on people for different checkups without human intervention. With the use of complex algorithms, Artificial intelligence can provide data-driven solutions to the doctors which in turn help them to make better decisions about the patient’s health.

Artificial intelligence has a great function in business performance in which chatbots offer immediate response to the queries and provide 24/7 support to the customers. This ultimately saves the time and effort required to carry out a successful business.

Nowadays, you use Google Maps, Uber cabs, and many other applications that automatically detect your issues and answers to your queries in no time- all thanks to artificial intelligence. The maps usually instruct you to take a different route as the one you are going to follow might have huge traffic congestion, all this is possible with the help of AI machines.

Artificial intelligence has greatly influenced various other fields related to manufacturing, education, finance, gaming, art, government and much more. AI has the potential to execute tasks related to speech recognition, face recognition, translating different languages, decision-making etc. Therefore, it is the future of technology as it can solve highly complex problems and delivers you the result within no time.

Importance of Education Essay

Essay on Artificial Intelligence – a boon or bane

We are in an era of rapid technological advancement, where artificial intelligence (AI) is changing how we live and work. You may have heard of popular AI models like ChatGPT, MidJourney, and others that have made headlines in year 2023 for their impressive capabilities, such as text-to-speech, text-to-image, and text-to-video.

Indeed, thousands of people have lost their jobs due to the proliferation of chatbots and other AI-powered systems. This has led to a debate over whether AI is a boon or a bane for society. In this essay, we will explore both sides of this issue and examine the potential benefits and drawbacks of AI.

Students must stay exam-ready by reading these types of essays based on current affairs .

Artificial intelligence (AI) is a rapidly growing field that is revolutionizing the way we live, work, and communicate. AI is a type of technology designed to perform tasks that typically require human intelligence, such as understanding natural language, recognizing images, and making decisions. Some people believe AI is a boon, while others consider it a bane. In this essay, we will explore both sides of the argument.

On one hand, AI can be seen as a boon. AI has the potential to revolutionize industries such as healthcare, education, and transportation. In healthcare, AI can help doctors diagnose diseases more accurately and quickly. In the educational field, AI can personalize learning experiences for each student based on their strengths and weaknesses. In the transportation sector, AI can help reduce traffic accidents and congestion by enabling self-driving cars.

AI can also make our lives more convenient. Virtual assistants like Siri and Alexa can help us manage our schedules, answer questions, and control our home devices with just our voice. AI-powered chatbots can help businesses provide better customer service by answering frequently asked questions and resolving issues more quickly.

On the other hand, AI can also be seen as a bane. One of the main concerns about AI is that it could potentially take over jobs that humans currently do. For example, self-driving cars could eliminate the need for taxi and truck drivers. AI-powered robots could replace workers in factories and warehouses. This could lead to job losses and economic instability.

Another concern is that AI could be used for malicious purposes. AI could be used to create fake news and spread disinformation. It could also be used to build autonomous weapons that could make decisions without human intervention.

In conclusion, AI is a complex and multifaceted technology that can be both a boon and a bane. While AI can revolutionize industries, improve our lives, and make our world a better place, we must also be mindful of potential risks and challenges associated with this technology. As we continue to develop and integrate AI into our lives, it is important that we carefully consider the ethical implications and strive to create a future where AI serves the common good.

If you were an ex-employee of Google, Meta, Alphabet or Microsoft, you would have surely termed Artificial intelligence a bane. On the other hand, for a graphic designer who has started earning a handsome amount of money with the help of Mid journey, artificial intelligence is no less than a boon or blessing for him.

TermDefinition
Artificial intelligence (AI)Machine intelligence
Self-driving carsAI-controlled vehicles
ChatbotsVirtual conversational agents
Personalized learningTailored education experiences
Job displacementWorkforce reduction
DisinformationMisleading information
Autonomous weaponsSelf-acting weaponry
EthicsMoral principles

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CBSE CLASS 12 AI SAMPLE QUESTION PAPER, Exams of Computer science

CBSE based sample paper for artificial intelligence.

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American Psychological Association Logo

AI’s profound impact on the world

Psychological science can help minimize algorithmic biases and bring a human-centered perspective to safe and effective design

Arthur C. Evans, Jr., PhD BOD

Vol. 55 No. 5 Print version: page 12

  • Artificial Intelligence
  • Technology and Design

graphic of arms coming through laptop screens to shake hands

These days, artificial intelligence (AI) is a common topic of conversation with strong—but not always recognized—connections to psychology. These connections to psychology often fall into two broad categories, both of which require our field to be proactive and strategic.

First, AI will have a profound impact on every aspect of our field. Whether you provide mental health services, conduct research, teach, consult, or facilitate the application of psychological science in different settings, industries, or systems, AI will affect what we do and how we do it. We already see evidence of this disruption taking place around issues like scholarly publishing, complex statistical analyses, and the precision and efficiency of psychological assessment. The advancement of AI offers extraordinary opportunities for innovation, and we do not have the luxury of shying away. Instead, we must position ourselves to shape and evolve along with these technologies. We must demonstrate that, as a field, we serve in a wide range of important roles that can be supplemented—but not supplanted—by AI.

Additionally, psychological science can inform the development and use of AI. Every area of psychology can and should contribute—human factors, cognitive, social, developmental, and more. We can use our scientific understanding to help AI minimize algorithmic biases and bring a human-centered perspective to its safe and effective design. We have expertise on issues like ethics and the psychology of privacy to ensure that AI is promoting positive outcomes, not generating harm or fueling manipulation. This provides a tremendous opportunity to demonstrate the breadth of our field by fully engaging in this evolving topic, intentionally seeking out opportunities to apply our science and knowledge to AI, and elevating the invaluable role psychology plays.

As an association, APA is taking a multipronged approach to AI—both supporting the adaptation of our profession and discipline and infusing psychology into the global conversation. I hope you will help us embrace the unprecedented possibilities before us.

Arthur C. Evans Jr., PhD, is the chief executive officer of APA. You can follow him on LinkedIn.

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Open Access

Peer-reviewed

Research Article

A real-world test of artificial intelligence infiltration of a university examinations system: A “Turing Test” case study

Contributed equally to this work with: Peter Scarfe, Etienne Roesch

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: [email protected]

Affiliation School Psychology and Clinical Language Sciences (PCLS), University of Reading, Reading, United Kingdom

ORCID logo

Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Resources, Validation, Writing – review & editing

Roles Conceptualization, Investigation, Methodology, Writing – review & editing

Affiliation Department of Psychology, University of Essex, Colchester, United Kingdom

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Validation, Writing – review & editing

  • Peter Scarfe, 
  • Kelly Watcham, 
  • Alasdair Clarke, 
  • Etienne Roesch

PLOS

  • Published: June 26, 2024
  • https://doi.org/10.1371/journal.pone.0305354
  • Reader Comments

Table 1

The recent rise in artificial intelligence systems, such as ChatGPT, poses a fundamental problem for the educational sector. In universities and schools, many forms of assessment, such as coursework, are completed without invigilation. Therefore, students could hand in work as their own which is in fact completed by AI. Since the COVID pandemic, the sector has additionally accelerated its reliance on unsupervised ‘take home exams’. If students cheat using AI and this is undetected, the integrity of the way in which students are assessed is threatened. We report a rigorous, blind study in which we injected 100% AI written submissions into the examinations system in five undergraduate modules, across all years of study, for a BSc degree in Psychology at a reputable UK university. We found that 94% of our AI submissions were undetected. The grades awarded to our AI submissions were on average half a grade boundary higher than that achieved by real students. Across modules there was an 83.4% chance that the AI submissions on a module would outperform a random selection of the same number of real student submissions.

Citation: Scarfe P, Watcham K, Clarke A, Roesch E (2024) A real-world test of artificial intelligence infiltration of a university examinations system: A “Turing Test” case study. PLoS ONE 19(6): e0305354. https://doi.org/10.1371/journal.pone.0305354

Editor: Harpreet Singh Grewal, Ascension Sacred Heart Hospital Pensacola, UNITED STATES

Received: February 9, 2024; Accepted: May 28, 2024; Published: June 26, 2024

Copyright: © 2024 Scarfe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All data are available via the Open Science Foundation at the following link: https://osf.io/v3rz6/ .

Funding: “This work was supported by the project award "CHAI: Cyber Hygiene in AI enabled domestic life” from the Engineering and Physical Sciences Research Council (EPSRC EP/T026820/1). There was no additional external funding received for this study.”

Competing interests: The authors have declared that no competing interests exist.

Introduction

What is artificial intelligence.

One of the key goals of the field of artificial intelligence (AI) is to create an artificial system that generates intelligent reasoning in natural language based upon ingested multi-modal external data. This goal is exemplified by the ‘imitation game’ published by Alan Turing, which went on to be known as the ‘Turing Test’. In its original form [ 1 ] a human interrogator has a text-based conversation with a man and a woman in another room. The interrogator knows these only as X and Y. The goal for the interrogator is to determine which of X and Y is a man and which a woman. Turing asked, what would happen if either X or Y was replaced by a machine? Will the interrogator decide incorrectly as often as when the game is played with two humans? Turing’s goal was to use this to determine whether machines can think i.e. a functional definition of what we now term AI.

Turing’s thought experiment in some ways established the field of AI, where systems are developed to try and emulate the process of human thought and reasoning. The ‘Turing Test’ is now more generally used to refer to our ability to be able to distinguish artificial from human intelligence. Early AI systems tried to achieve artificial reasoning by manipulating symbols representing real world concepts with a predefined set of rules. Examples of this approach included the ‘Logic Theory Machine’ [ 2 ] and the ‘General Problem Solver’ [ 3 ]. This manual programming approach failed in its goal of mimicking human intelligence, which could not easily be expressed in terms of a set of predefined concepts and symbolic rules. This led to scepticism about whether the ultimate goals of AI were at all possible [ 4 , 5 ].

Symbolic AI systems became termed ‘Good Old Fashion AI’ [ 6 ] in contrast to alternative ‘artificial neural network’ (ANN) based approaches, which were originally developed in the 1950s and laid the foundation for today’s AI. ANNs consist of a set of nodes which are connected to one another, analogous to the way in which the brain consists of a set of neurons which are connected to one another as a network. ANNs have an input and produce an output, the output being determined by the connectivity between nodes and the connection strengths (the nodes themselves being far simpler than neurones). ANNs can be trained in various ways to update these weights using specific algorithms so as to produce the desired output e.g., supervised, unsupervised, or semi-supervised learning [ 7 ].

Early networks were “shallow” in that they contained only a few layers of nodes but were able to complete tasks such as binary classification, regression, and simple feature extraction. They could not however complete tasks akin to more complex human reasoning. This changed with the advent of “deep neural networks” (DNNs) during the 2010’s. DNN’s work on the same core principles as early ANN’s but contain more nodes and layers and have a more complicated computational architecture. This allows the network to extract more abstract features of the input and complete more complicated tasks. As of this writing, we are undergoing somewhat of an AI revolution, where DNNs are used for a variety of tasks such as, recognising objects in images [ 8 ], controlling autonomous vehicles [ 9 ], modelling protein folding [ 10 ], playing complex high dimensional games [ 11 ], language translation [ 12 ], speech to text conversion [ 13 ], and natural language understanding [ 14 ], just to name just a few.

AI, education and academic misconduct

There has been an explosion of interest in AI over the last few years, driven largely by the emergence of more complex “large language models” (LLM’s), a type of AI designed to understand and generate human language. The most widely discussed of these, both in the academic literature and public discourse, is ChatGPT created by OpenAI (at the time of writing, the latest model being GPT-4). In GPT-4’s own words (in the response to the prompt “What is ChatGPT?”):

“ChatGPT , or Chatbot Generative Pre-trained Transformer , is an advanced AI language model developed by OpenAI . It is based on the GPT architecture , with the latest version being GPT-4 at the time of your question . These models are designed to understand and generate human-like text , allowing them to engage in conversations , answer questions , and provide information on various topics . ChatGPT is pre-trained on a large corpus of text from the internet , which enables it to have a broad understanding of language and knowledge about various topics up to a certain date (in this case , September 2021) . The model is fine-tuned with additional training data to make it more useful and safe in conversational contexts . Despite its impressive capabilities , ChatGPT may still make mistakes or generate incorrect or outdated information , as it relies on the quality of the data it was trained on and does not possess an ability to learn new information or update itself in real-time . ”

LLMs such as GPT-4 are based upon the widely used transformer architecture [ 15 ] and exploit the simple fact that human language is non-random and follows a stable structure. If one writes “the cat sat on the …”, different words have different probabilities of continuing the sentence. In this instance, “mat” would be a far more likely continuation of the sentence compared to “neutrino”. This is obvious to us, but the surprising thing is that an artificial system trained using such a simple basic strategy (i.e., predicting what will come next) can emulate highly complex human reasoning. This is evidenced by their use in diverse fields such as chemistry [ 16 ], medicine [ 17 , 18 ] and education [ 19 ].

In the present paper, we focus on the on the threat AI poses in the educational sector. There have been numerous anecdotal reports of academics running their assessment questions through AI systems such as GPT-4, grading the answers and finding that these systems attain excellent grades [ 20 ]. A recent rigorous blind study backed up these anecdotal reports by showing that ChatGPT produces comparable or better responses to exam questions than students across a range of subjects [ 21 ]. This study was experimentally based and did not test a real-world end-to-end examination system or measure the detectability of AI by educators. However, clearly, if students can simply copy and paste an assessment question into a system such as GPT-4 and in seconds get an output that will pass the assessment undetected, passing the assessment demonstrates absolutely no knowledge on the part of the student.

Academic assignments are typically classed into two broad categories: “coursework” and “exams”. Coursework assignments are traditionally completed with little to no supervision e.g., students are given an assignment question, go away to research the topic independently and write their answer over a period of weeks. Therefore, other than asking students not to use it via standard academic policy, there is nothing to stop students from using AI in completing their coursework. In contrast, up until very recently, exams were traditionally run “in person” under direct supervision, which precludes the use of AI without very elaborate use cases. This all changed in 2020 with the start of the COVID-19 pandemic; overnight, this required exams to move online and be completed at home.

In some ways, the COVID-19 pandemic simply accelerated an existing trend in the educational sector to organise exams online branding these as “authentic forms of assessment”, “constructively aligned” with real-life professional experiences [ 22 ]. Assessments should require students to demonstrate logical reasoning, integration of information, critical analysis, and the application of their knowledge to real world concerns. In person exams have been designed to reflect this, however, the take home online exam format reduces performance being partially a measure rote memorisation. The format is also more inclusive to those, for example, with mental health conditions or external responsibilities that make it difficult to attend an exam on campus (although alternative arrangements for students such as these have been in place prior to the move to online exams).

In addition to the potential educational benefits, in a complex business landscape, some universities have continued to run exams online with questions largely akin to those that students would get in a traditional supervised exam for non-pedagogical reasons as well. These include “enhancing the student experience” and “hearing the student voice”—student reported “experience” and “voice” being central to many metrics universities are judged upon [ 23 , 24 ]. Such as, in the UK, the National Student Survey. This benefits universities that are competing for student tuition fees in an increasing overstretched and underfunded sector, described in the UK by the House of Lords as facing a “looming crisis” [ 25 ]. Furthermore, with increasing student numbers, there are increasing costs and practical efficiencies in not having to organise in person exams, which put pressure on university infrastructure.

Whatever the motivations, one cannot escape the fact that if AI can produce answers to assessments in a matter of seconds, students could easily complete unsupervised assessments using AI, whether these are classed as exams or coursework. Today’s AI can already demonstrate attributes such as integration of information and critical analysis [ 21 ], which are the very attributes educators want students to demonstrate. AI is also “multimodal” being able to analyse images and text and reason on the information these contain. It can integrate information from multiple resources, offer reasoning to why it came up with the answer it provided (and why it rejected others), and provide multimodal answers in response. In this context, AI renders unsupervised assessments, branded “authentic” [ 22 ] or not, dangerously susceptible to academic misconduct.

Academic misconduct has always been a problem. For example, students submitting someone else’s work as their own, colluding with one another, sharing questions, or purchasing answers from an “essay mill”. However, LLMs and AI pose a fundamentally different threat. They are widely available, (typically) free to use, trained on a huge corpus of data way beyond what peers or an essay mill could provide and can be used by students to interactively and iteratively complete assessments. LLMs also learn from the experience of the prompts submitted so can constantly improve (leading to companies such as Samsung to ban employees from using AI chatbots due to the accidental leakage of internal trade secrets [ 26 ]). Post-COVID with both exams and coursework being unsupervised, the unique threat of AI has led many institutions to move exams back to being in person to help maintain their academic integrity.

Can the use of AI be detected?

If assessments and exams are primarily completed unsupervised, without the use of some kind of remote proctoring software and process, the question becomes whether there is a way to detect the use of AI in student submissions? If the use of AI can easily be detected, in some senses there is no real problem–students cheat using AI and then get caught. Whilst LLM’s are impressive, they are not perfect. They are reliant on the corpus of data they are trained on and do not logically plan their answers. Rather, in answering a query, they essentially predict what words (or more specifically “tokens”) will come next based upon what they have learned from their training data (for a detailed description see [ 27 ]). As a result, they can state ‘facts’ and ‘reasoning’ in response to a query, but the ‘facts’ can be made up and the ‘reasoning’ completely illogical. This type of error has been described as the AI “hallucinating” in its answers. Indeed, OpenAI state on the ChatGPT interface that “ChatGPT may produce inaccurate information about people, places, or facts”.

Several competing AI systems have been released with their creators claiming that these systems can successfully detect the use of AI in the production of written text. One of these was produced by OpenAI, the creators of GPT-4, but quietly withdrawn, due to its “low rate of accuracy” [ 28 ]. Given a piece of AI-written text the detection AI would correctly classify it as produced by AI only 26% of the time. This is in some senses unsurprising as the aim of LLMs is to mimic the production of human language. Turnitin, a global company that provides software for online assessment submission and grading have released an AI detection tool, initially claiming that it could detect “97 percent of ChatGPT and GPT-3 authored writing, with a very low less than 1/100 false positive rate” [ 29 ]. However, after releasing the detection software in beta they found that “real-world use is yielding different results from our lab” and that “in cases where we detect less than 20% of AI writing in a document, there is a higher incidence of false positives” [ 30 ].

There is also evidence that AI detection tools can exhibit bias against non-native English writers, classifying them more frequently as AI compared to native English writers [ 31 ]. Additionally, AI systems exist that are designed to make AI produced written text undetectable to the AI systems designed to detect AI. Recent research [ 32 ] has shown that that the latest AI detectors cannot reliably detect LLM outputs in practice, stating that “for a sufficiently advanced language model, even the best detector can only perform marginally better than a random classifier”. If detection is impossible, or at best highly problematic, this is particularly concerning because the potential consequences of academic misconduct can be high, with a huge population of students. At the time of writing, another widely discussed company with the aim of detecting AI generated text, GPTZero, explicitly states that their AI detection systems “should not be used to punish students”, instead recommending that “… educators take approaches that give students the opportunity to demonstrate their understanding in a controlled environment and craft assignments that cannot be solved with AI”.

The present study

In this paper we report a real-world ‘Turing Test’ of the integrity of a university examinations system to infiltration by an AI chatbot (GPT- 4). To do this, we injected 100% AI written submissions into our examinations system in five undergraduate modules, across all years of study for a BSc degree in Psychology in the School of Psychology and Clinical Language Sciences (henceforth, ‘the School’) at the University of Reading (henceforth, ‘the University’). Markers of the exams were completely unaware of this. Overall, we found that 94% of AI submissions were undetected, even though we used AI in the most detectable way possible. AI submissions consistently outperformed real students, attaining grades which were on average around half a classification boundary higher. We found that in 83.4% of instances the grades achieved by AI submissions were higher than a random selection of the same number of student submissions.

After reviewing a full written protocol, the University Ethics Committee Lead deemed this a quality assurance exercise not needing research ethics submission. Therefore, to gain authorisation to run the study we consulted the University Pro Vice Chancellor for Education, our Teaching and Learning Deans, the co-chairs of the University Sub-Committee on Delivery and Enhancement of Learning and Teaching, and our Head of School. We received unanimous approval to go ahead.

By design, markers on the modules we tested were completely unaware of the project. Other than those involved in authorising the study and the authors, only a handful of others were aware (e.g. those who helped arrange paid marking cover for the additional AI submissions and those who created the special university student accounts needed for AI submissions). Study authorisation did not require informed consent from markers. Following the analysis of the data, we invited all markers to two sessions chaired by our Head of School, to explain the study and gather feedback. Markers were very supportive and engaged in fruitful discussions. None were aware of the study having been run.

Submitted exams

We were limited to submitting AI written answers to online exams where the additional marking load could be offset by bringing in additional paid markers. We submitted questions to all such exams where this was possible ( Table 1 ). The proportion of AI written answers was approximately 5% of the total for each module. This percentage was decided upon (1) as it was a feasible number of submissions for two of the authors (Scarfe and Roesch) to submit live in each exam window (see below), and (2) marking load for this number of submissions could be offset. We were also wary of submitting large numbers of AI written answers which were self-similar due to not being modified (see below).

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For each module the “P” number is the part number (year of study) of the exam and the “M” number an index of the module e.g., P1-M1 is the module number 1 at part 1 that we submitted AI written answers to.

https://doi.org/10.1371/journal.pone.0305354.t001

There were two classes of exam submitted to (1) Short Answer Questions (SAQs), where submission consisted for four answers from a choice of six questions, each with a 200-word limit and (2) Essay Based Questions, where submission consisted of a single 1500-word essay (students submitted one answer out of a choice of either three or four (dependent on the module)). SAQ’s were completed in a 2.5hr time limited window starting at 9am or 2pm. Essay exams were completed over an 8hr time limited window starting at 9am. Both were at home exams where students had access to their course materials, academic papers, books, the internet and could potentially collude and collaborate with peers or use generative AI.

We used a standardised prompts to GPT-4 to produce answers for each type of exam. For SAQ exams the prompt was:

Including references to academic literature but not a separate reference section , answer the following question in 160 words : XXX

For essay-based answers the prompt was:

Including references to academic literature but not a separate reference section , write a 2000 word essay answering the following question : XXX

In each prompt, XXX was replaced by the exam question. Note that the requested word limits in the prompts do not match the word limits in Table 1 . This is because we found that with the correct word limit specified, for SAQ answers GPT-4 tended to produce too many words and for essay answers too few. With 160 words for the SAQ prompt GPT-4 tended to produce answers approximately on the target word count.

For essay answers, we were unable to get chat GPT-4 to produce 1500 words reliably even with increasing the word count in the prompt substantially. We therefore settled on 2000 words to marginally increase the words produced and prompted GPT-4 with “Please continue your response” if the answer produced was substantially short compared to our testing. This was done until it reached an approximately correct wordcount. We then simply collated the two or three answers provided, without adding any transition or altering the text in any way.

One essay question for module P3-M1 required one AI submission to contain an image illustrating the application of Norman’s principles of interaction design [ 33 ]. For this submission, we selected a picture of a revolving door with push plates, and adapted the prompt accordingly:

Including references to academic literature but not a separate reference section , write a 2000 word essay answering the following question : “Explain why you think a revolving door with push plates is well-designed according to Norman’s principles of design . ”

The original exam question being:

Find ONE object you think has been well-designed according to Norman’s principles of user-centred design . Provide a picture of the object and explain why you think it is well-designed according to those principles .

Unlike SAQs, which had to be copy-pasted on an online submission form, essays had to be submitted as a separate document. We therefore applied minimal formatting, by changing the typeset of section titles, and using Microsoft Word’s build-in styles a different way for each submission.

For both types of exam students were encouraged to, where possible, include in-text citations, but a reference section at the end of the answer is not required. Occasionally, despite the tailored prompt, GPT-4 would produce reference sections at the end of the answers. When this happened, these were removed. Other than this, answers produced by GPT-4 were submitted unmodified given limited means to mimic student editing. We were also interested in the detectability of 100% AI written answers and the grades these submissions would receive, as this is a baseline for the infiltration potential of AI. None of the AI generated responses included the specific disclaimers that ChatGPT-4 sometimes adds, e.g., specifying that as an AI cannot do certain things.

For submission, AI alias university student accounts were set up for 33 students by our Digital Technology Services team. AI aliases were assigned to different year groups to ensure that they did not submit to incompatible modules. To ensure uniform coverage, we used a sliding window to determine which questions each fake student submitted on each module e.g., for a 6-question SAQ where 4 must be answered, student 1 answered 1–4, student 2 answered 2–5 with looping. Where more than one AI alias submitted an answer to the same question, we used the “regenerate” button of GPT-4 to produce multiple answers. No generated answers were discarded.

AI generated answers were submitted at the end of the submission period, on the day of each exam, using the special university student accounts. Exams were run on two standard commonly used submission and marking systems used across universities internationally. One system was used for SAQ exams and one for essay exams. The system used for essay exams had a similarity metric which gives a percentage value as to how much each submission matches a large database of external sources. The use of these systems for each type of exam was not related to any aspect of this study, but rather, standard procedure for how different exams were organised. Markers were, as standard, academic staff and paid trained PhD students [see also 21]. All marking was completely anonymous. Regardless of exam type, to the markers, our AI submissions procedurally looked identical to any other student submission.

How were exams graded?

Examinations were graded on the University’s standard stepped numerical scale ( Table 2 ). Submissions were graded by a first marker who read the work and assigned a grade according to how well the student had met the objectives of the assessment in line with the marking rubric. Grades were then moderated by an independent moderator who considered the overall level of attainment across submissions, read a randomly selected proportion of the submissions, and reviewed submissions that had attained a failing grade or had been flagged by the first marker (e.g., flagged for potential academic misconduct). The role of the moderator was not to double mark the submissions, but to review the quality, consistency, and appropriateness of the marking.

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Where an exam has multiple questions, the overall mark is calculated as a weighted average of the marks for individual questions. For all exams in the present study all questions were weighted equally when calculating the overall mark.

https://doi.org/10.1371/journal.pone.0305354.t002

Prior to marking commencing on modules with multiple markers, a “calibration session” was held for the marking team. Calibration involves a small number of submissions being graded by the full marking team and the grades awarded compared across markers. Where different marks are awarded, markers work to reach consensus on the appropriate grade to award. This ensures that all markers are applying the marking criteria consistently. Moderation serves as a further check on the consistency of the different markers on each module.

What were markers told about AI?

At the time of running the study, in the summer 2023, the use of AI to complete exams was not allowed and fell under the standard University academic misconduct policy, which stated that the work submitted by students had to be their own. The software systems used for exams submission and grading did not have an “AI detector” component. Colleagues received standard guidance from the School about how to spot poor academic practice and academic misconduct. This including, (1) checking if answers sounded “too good to be true” e.g., a writing style, level of content, or quality, not expected from an undergraduate student completing a timed exam paper, (2) spotting answers which covered predominantly content which was not taught on the module, and (3) citations to references not linking with the claims being made in the answer. Many of these are characteristics of AI written text.

At the time, AI (particularly ChatGPT) was in the news media daily and an active topic of conversation amongst colleagues doing exam marking. The problem posed by AI for the academic integrity of assessments had also been discussed in larger meetings in the School. In debrief sessions given to colleagues who had marked on modules where we submitted AI (after the study had finished), virtually all were aware of the threat of AI to the integrity of exams. Indeed, in the few times where academic misconduct was suspected and reported, some colleagues referred to suspicions related to AI e.g., answers that seemed too “good to be true”, cited esoteric literature not covered in the course or cited seemingly non-existent references. Some had also run exam questions through ChatGPT to compare with the suspicious answers and/or run suspicious answers through online “AI detectors”. Note that this was not used in a diagnostic fashion for academic misconduct.

Discussions with academic colleagues at other universities and feedback from our external examiners [ 34 ] suggest that knowledge of AI among our colleagues and the policies in place to support its detection at the University were highly reflective of those across the sector at the time the study was run. Staff at Higher Education institutions across the UK were aware of the threat posed by AI but were not prepared for its rapid emergence and evolution as a tool that might be used by students to cheat in assessments. Universities were yet to put plans in place to handle the threat to academic integrity associated with misuse of AI tools or to integrate the use of AI into the curriculum.

Were AI submissions detectable?

For the purposes of this study, to be classed as “detected” AI submissions needed only to be flagged for some form of poor academic practice or academic misconduct via standard university procedures. The marker did not need to mention AI when they flagged the script as of concern. The percentage of AI submissions detected in each module is shown in Fig 1 and Table 3 .

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Flagging could be for any reason a marker had concerns about the submission based upon the standard academic misconduct policy. Markers did not have to mention AI in the flagging.

https://doi.org/10.1371/journal.pone.0305354.g001

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As in Table 1 , for each module the “P” number is the part (year of study) of the exam and the “M” number an index of the module.

https://doi.org/10.1371/journal.pone.0305354.t003

Overall, AI submissions verged on being undetectable, with 94% not being detected. If we adopt a stricter criterion for “detection” with a need for the flag to mention AI specifically, 97% of AI submissions were undetected ( Fig 2 ).

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https://doi.org/10.1371/journal.pone.0305354.g002

What grades did AI submissions attain?

Grade frequency histograms for each of the modules where AI was submitted are shown in Fig 3 . Orange distributions are for real students and blue distributions fake AI students. The four detected AI submissions have been removed from all reported plots. As can be seen, AI submissions tended to attain grades at the higher end of the distribution of real students, gaining 2:1 to 1 st level grades. They tended to be clustered at this higher level rather than dispersed amongst the wider distribution of student grades. The exception to this was P3-M1 where AI submissions attained grades towards the lower end of the distribution for real students.

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Medians of the distributions are shown as dot in matching colours at the bottom of each plot. Grade boundaries for 2:2, 2:1 and 1 st classifications are shown as dotted lines.

https://doi.org/10.1371/journal.pone.0305354.g003

Median grades attained by real and AI students are shown in Fig 4 (and as dots in Fig 3 ). In both plots grade boundaries for 1 st , 2:1 and 2:2 level grades are shown as dashed lines. For four out of five modules AI submissions on average gained higher grades than real students, with medians in the 2:1 and 1st classification range. The exception being the finalist module P3-M1.

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Grade boundaries for 2:2, 2:1 and 1 st classifications are shown as dotted lines.

https://doi.org/10.1371/journal.pone.0305354.g004

The magnitude of the advantage the AI submissions had over real students is shown in Fig 5 . On average grades achieved by AI submissions were just over half a classification boundary higher than that achieved by real students, though this varied across modules ( Fig 5 ). In the most extreme difference between AI and real students, the AI advantage approached that of a full grade boundary. This was in the module P1-M2 where the AI overall gained 1 st class grades.

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The dashed lines show a full and half classification boundary (10 and 5 percentage points respectively).

https://doi.org/10.1371/journal.pone.0305354.g005

How likely was it that AI submissions attained a higher grade than real student submissions?

We can get an idea of the likelihood of AI outperforming real students through the following. For each module we have n m AI submissions. We can therefore calculate the likelihood with which a random sample of n m real student submissions from the module would be outperformed by the AI submissions on the same module. By “outperformed” we mean the median of the AI submissions being greater than the median of the selected student submissions. Thus, the process for each module is as follows: (1) randomly select n m real student submissions, (2) calculate the median grade of this selection, (3) see if the median grade for the AI submissions on that module is greater than this, (4) repeat with replacement i.e., all real student submissions remain in the pool for selection on each repeat. Here we conducted this resampling process 100000 times.

The probability with which the AI submissions in each module would outperform a random selection of the same number of real student submissions is shown in Fig 6 . For all modules bar P3-M1 there was nearly a 100% chance that a random selection of n m real student submissions being outperformed by the n m AI submissions. The exception was module P3-M1, where AI submissions outperformed real students in 19% of cases. Across modules as a whole, there was an 83.4% chance of a random selection of n m real student submissions being outperformed by the n m AI submissions.

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This is shown for individual modules as well as across all modules. The blue dashed line shows a 100% chance of AI outperforming students and the dashed black line a 50% chance.

https://doi.org/10.1371/journal.pone.0305354.g006

This result reflects the fact that AI submissions very consistently attained higher grades than real students. This is clear from grade histograms ( Fig 3 ) where AI submissions tended to be clustered at the higher end of the distribution of grades attained by real student submissions. Indeed, we can simply calculate for each module (and overall) the percentage of student submissions that gained a grade greater than the median achieved by AI. This is shown in Fig 7 . As would be expected, this produces results consistent with the resampling approach shown in Fig 6 . Overall, only 16% of student submissions attained a higher grade than the median achieved by AI on the same module.

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This is shown for each module and also overall. With reference to Fig 3 , this is showing the percentage of student grades shown in the orange histograms which are greater than the median AI grade shown as the blue dot.

https://doi.org/10.1371/journal.pone.0305354.g007

Visualising grades and detectability

Finally, to get an overall picture of both the grades attained by AI and its detectability, we can plot our data in a two-dimensional space ( Fig 8 ). On the x-axis is the detectability of our AI submissions and on the y-axis the median grade that AI submissions attained. This is plotted for modules in isolation and overall. In terms of this space there is a clear order of preference for where we would like our data to be located. The “best case scenario” is that our data would be in the bottom right corner of the plot where AI is 100% detectable and attains 0% in terms of grade. An equally good situation for academic integrity perspective would be that our data were located at the top right corner of the plot. Here, students would cheat with AI and get a 100% grade, but we would detect their cheating 100% of the time.

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The “best case scenario” is the lower right of the graph where AI is 100% detectable and gains 0% grades. The “worst case scenario” is the upper left of the graph where AI is undetectable and gains 100% grades. The data fall in the upper left quadrant of the graph (highlighted by solid lines) with AI being nearly undetectable and AI submissions consistently gaining higher grades than real student submissions (dashed purple line). This is shown for individual modules (labelled grey semi-opaque points) and overall (red point and arrow). The dashed horizontal purple shows the median grade attained by real student submissions over all modules.

https://doi.org/10.1371/journal.pone.0305354.g008

A less ideal situation would be the bottom left corner of the plot, here we have no ability to detect the use of AI, but it attains a 0% grade. Therefore, students who cheated with AI would hopefully become incentivised not to, as they can attain higher grades by doing the work themselves. Finally, the “worst case scenario” is that the data fall in the top left corner of the plot. Here we have no ability to detect the use of AI and it attains a 100% grade. Clearly, we are in an area of this space where we do not want to be, with AI being nearly impossible to detect and consistently attaining higher grades than real students.

Academic integrity

From a perspective of academic integrity, 100% AI written exam submissions being virtually undetectable is extremely concerning. Especially so as we left the content of the AI generated answers unmodified and simply used the “regenerate” button to produce multiple AI answers to the same question. A far more plausible strategy for academic misconduct would involve students modifying the AI output to make it less detectable, by, for instance, iteratively honing a series of prompts to construct an answer in collaboration with AI. If real students were cheating in an exam, they would be unlikely to take such a naively obvious approach as we did (unless they knew that they could, and we would not be able to detect it).

One might argue that no similarity check being available for SAQ exam submissions would impede marker’s ability to detect AI submissions. Our data provide no evidence for this. All AI submissions that were detected were detected in SAQ exams where no similarity check was available. None of the AI essay exam submissions were detected, where a similarity check was available. Overall, our 6% detection rate likely overestimates our ability to detect real-world use of AI to cheat in exams. This is particularly worrying as AI submissions robustly gained higher grades then real student submissions. Thus, students could cheat undetected using AI and in doing so attain a better grade then those who did not cheat.

The exception to the general pattern of AI outperforming students was our finalist module P3-M1. This is consistent with the notion that current AI struggles with more abstract reasoning [ 21 ], attributes at the higher levels of Blooms taxonomy [ 35 , 36 ]. However, we are wary of speculating further based upon our data as this this was the only finalist module that we were logistically able to submit AI written answers to and it only had 3 AI submissions. This is clearly an interesting area for further study. Especially so in the rapidly improving landscape of LLM’s and AI more generally. Based upon current trends the ability of AI to exhibit more abstract reasoning is going to increase and its detectability decrease, meaning that the problem for academic integrity will get worse, necessitating action from educators now rather than later.

What proportion of student’s cheat using AI?

Clearly, we have no way to estimate the proportion of students in our sample who used AI to complete their submissions. However, with the huge media coverage of AI, such as GPT-4, specifically in relation to cheating in exams, which included discussion of the failure of AI detectors, coupled with conversations with our students, we struggle to conclude that its use would be anything other than widespread. In a publicised freedom of information request, the University of Glasgow in the UK was found to have logged over 150000 connections to ChatGPT between May and the end of August 2023 [ 37 ]. This would be a substantial number of connections for students simply being curious about AI or doing independent research on AI themselves. Comparable data was not available from our university when requested.

Inferences can also be made based on student questionnaire reports as to the likelihood of them using AI. In a recent survey [ 21 ] it was found that in response to the question “Considering your next term of studies, would you use ChatGPT to assist with your studies?”, 74% of students indicate that they would use ChatGPT. The main reason students selected was to “improve my skills” (~40%) and “save time” (~30%). Only around 12% selected “better grades”. We would predict that these figures will change as knowledge of AI outperforming students increases. Especially as the most frequently selected reasons for students not using ChatGPT were “don’t know how to use it” (~31%) and “no need for it” (also ~31%). Furthermore, in this study students, compared to educators, were more likely to endorse the use of ChatGPT and less likely to endorse its use being acknowledged.

Therefore, pragmatically, it seems very likely that our markers graded, and did not detect, answers that students had produced using AI, in addition to our 100% AI generated answers. To counter this claim, one could argue that our AI submissions consistently outperformed real students, so this might suggest that AI was not used widely, else we would not have found this. An alternative argument is that students used AI, but in modifying the AI generated answers themselves made them worse than if that had simply entered the question and directly used the output unmodified as we did. Those student submissions which outperformed AI could also have consisted of AI generated material which students evaluated and verified, correcting factually incorrect information, to improve the AI response. Whatever the true nature of the reality in terms of the prevalence of use of AI, it is clear AI poses a serious threat to academic integrity.

Ways to tackle AI / Can we tackle AI?

A simple and easy way to tackle the issue of AI academic misconduct would be to move back to supervised and in person modes of examinations. Indeed, some universities have already made this move after the necessity imposed by the COVID pandemic abated. This would not solve the problem of AI being used for coursework, which is completed largely unsupervised. Post COVID, many universities have however maintained a large proportion of exams being unsupervised ‘take home’ exams. These have normally taken broadly the same form as an in-person exam e.g., an essay question, but marked with knowledge that students would have access to course materials and the internet. There are several motivations for this, such as “enhancing the student experience” [ 23 ], making exams more inclusive, “hearing the student voice” [ 24 ], as well as the efficiency savings related to this in an increasingly underfunded and overstretched sector.

Whilst there is a pedagogical trend in the sector towards more “authentic” forms of assessment [ 22 ]. For example, practically demonstrating a skill rather than simply writing an essay about it. The “authentic” versus “unauthentic” distinction is quite different from the “supervised” versus “unsupervised” distinction. There can be highly “authentic” assessments which might be examined authentically in a traditional “pen and paper” setting. Equally, there are many “authentic” assessments which could be taken unsupervised and are trivial for AI to complete. Thus, tackling the problem of AI does not come down to pedagogical ideologies or categories. Rather, sound decisions should be based upon evidence .

Going forward AI will be used increasing in the workplace and it is highly likely, based upon current research, that we will be unable to detect students using AI to complete assessments. Framing AI as an addressable problem therefore seems misguided. A “new normal” integrating AI appears inevitable. An “authentic form of assessment” will be one in which AI is used. The question then becomes, how we can embrace the use of AI to enhance education rather than escape it? AI can have many benefits, for example, efficiently summarising large corpuses of data which it would take a human decades to read. This potentially frees up time for thinking more deeply about the material summarised by AI (so long as you can trust the summary). However, assessments will constantly need to be adjusted in the face of improvements in the extent to which AI can intelligently reason.

“Trust” and “Truth” in an AI world

With the advent of a new technology, we must invariably take on responsibility for our ability to use that technology ethically and with clear knowledge of its limitations. We have described above how an AI such as GPT-4 can hallucinate facts and make seemingly logical arguments that are in fact completely illogical. It is limited by its training data. However, this is also true in how we as humans ingest information, we too have “a training data problem”. For example, if I based my understanding of the food preferences of the UK purely on the menu of McDonalds (one of the largest food chains in the UK), I would be missing a lot about the true state of the world. A common phrase in machine learning is “garbage in, garbage out”, illustrating that training on poor quality data typically doesn’t yield good outcomes.

Today’s AI has been made possible, in significant part, by training AI models on larger and larger corpuses of data. Pick a specialist topic and a human expert might do better than GPT-4, but in terms of overall “factual knowledge” GPT-4 “knows” vastly more than one human, or even a group of humans, could know in their lifetimes. AI currently makes mistakes, but so do we. The mistakes AI makes surprise us because they are “non-human” e.g., misclassifying an object in an image because a single pixel of the image has been changed [ 38 ], but GPT-4 would likely be surprised by our mistakes being very “non-AI”. In a world of “fake news” and “alternative facts”, we need to be cautious in simply passively taking what we read as fact, regardless of the source, AI or human.

We have presented a rigorous real-world ‘Turing test’ for the infiltration of AI into the examinations system of a leading UK university. We found that within this system 100% AI written submissions were virtually undetectable and very consistently gained grades better than real student submissions. This poses serious questions for the educational sector if we are to maintain the academic integrity of our assessments. We have discussed our results in terms of our (or AI’s) ability (or not) to detect the use of AI and the need to acknowledge that in moving forward we likely need to accept the destination to be a “new normal” where the use of AI in generating the information we consume is inevitable.

Acknowledgments

We are thankful to our colleagues who unbeknownst to them marked AI written exam submissions. This work is in no way a reflection of the outstanding quality of their work as educator, their tireless dedication and unbounded commitment to teaching and learning in higher education. This has provided much needed valuable data about how the sector must move forward, given the unexpected advances of AI systems. We are grateful for their enthusiasm of “turning the microscope on ourselves” after the study was revealed. As scientists this is what we do. We are in debt for your insightful and informative comments about your practice.

We would also like to thank Louise Hague, Peter Miskell, Dan Grant, and Carmel Houston-Price for allowing the project to run. Thanks to Carmel Houston-Price for commenting on an earlier draft of this paper. We are glad that this work continues the University of Readings long history of research informed teaching, academic freedom, and commitment to Open Science. Juliane Honisch handled the logistics of covering marking produced by our AI submissions and helping us coordinate which modules we could submit AI submissions to. Helena Bampton and Sheri Kinghorn created the special university IT accounts for our AI aliases.

Acknowledging AI: If we were to say that GPT-4 had designed part of this study, did part of the analysis and helped write the manuscript, other than those sections where we have directedly quoted GPT-4, which parts of the manuscript would you identify as written by GPT-4 rather than the authors listed? Given your suspicions, how would you prove we “cheated” with AI? Would you consider it “cheating”? If you did consider it “cheating”, but we denied using GPT-4 (or any other AI), how would you attempt to prove we were lying? How confident would you be in your evidence of our deceit?

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