Find out what AI is, how it differs from human intelligence and how it impacts our daily lives.
Written by MSc Artificial Intelligence Programme Director, Rameez Kureshi.
What is AI?
Although there is no universally accepted definition, Artificial Intelligence (AI) broadly refers to computer systems that can perform tasks normally associated with human intelligence, such as learning from data, recognising patterns, reasoning, generating content and supporting decision-making. In practice, AI does not simply “think” like a human; it processes data using models and algorithms to support or automate specific tasks.
The father of AI, John McCarthy (1927-2011), defines it as The science and engineering of making intelligent machines
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Many everyday uses of AI now fall within broader areas such as machine learning, natural language processing, computer vision, and generative AI. These technologies are already used across sectors such as healthcare, education, transport, finance and digital services.
Approaches to Artificial Intelligence
Artificial intelligence is a combination of computer science, physiology, and philosophy; however, there are many different approaches to the interdisciplinary science of AI. To solve challenging real-world problems, scientists and researchers apply distinct methods to this advanced technology and improve computer machine functionality.
Norvig and Russell, the authors of Artificial Intelligence: A Modern Approach define four different AI approaches:
- Thinking humanly: mimicking thought based on the human mind.
- Thinking rationally: mimicking thought based on logical reasoning.
- Acting humanly: acting in a manner that mimics human behaviour.
- Acting rationally: acting in a manner that is meant to achieve a particular goal.
Interested in more definitions for AI professionals? Check out our AI glossary:
How does AI impact everyday life?
These approaches explain how AI systems may be designed to process information, reason about problems, act towards goals, and sometimes mimic aspects of human behaviour. However, modern AI is usually best understood as a set of tools that support specific tasks rather than a direct copy of the human mind.
Artificial intelligence has a significant impact on how we conduct our daily lives. It's been around for decades but has recently become an integral part of our way of life. The idea of having a digital assistant at home ("Hey Google, tell me the weather forecast tomorrow!”) is more common than ever.
The ability to analyse multiple layers of information to make decisions based on what’s being described, who created it, and where it came from can seem sci-fi at first. But in reality, these technologies are impacting how we conduct business and even how we move through our own homes.
To learn more about the practical use of AI in everyday life, read our guide on 10 real-world applications of AI you see every day.
Artificial intelligence vs human intelligence
Humans are responsible for designing and coding the algorithms which allow computer systems to handle complex problems and learn from the environment, making AI more versatile.
However, when it comes to common sense, social interaction, emotional understanding, ethical judgement and self-awareness, human intelligence remains fundamentally different from AI. It is more accurate to say that AI performance is task-specific, rather than describing AI as having an IQ in the human sense.
Artificial intelligence and human intelligence are often used interchangeably, however, they're separate things. While artificial intelligence includes technologies that let computers mimic cognitive processes such as learning and problem-solving, human intelligence is a collection of common mental traits such as creativity, perception, and memory.
It is not currently possible to build an AI system with the full breadth of human intelligence. However, research increasingly explores how AI can complement human expertise, for example, by helping people analyse information, identify patterns and make more informed decisions.
Despite these differences, AI applications can be highly effective in defined tasks and can process large volumes of data consistently. However, AI systems can still make mistakes, especially when the data is incomplete, biased, outdated or different from the context in which the system was trained. In short, human intelligence uses lived experience, memory, judgment, and cognitive ability, while AI relies on data, algorithms and human-defined objectives.
AI vs human intelligence: Key differences
| Feature | Human Intelligence | Artificial Intelligence |
|---|---|---|
| Learning ability | Learns from experience, emotions, context, and real-world understanding | Learns from data, algorithms, and patterns identified during training |
| Creativity | Highly creative and imaginative, shaped by experience, emotion and intention | Can generate creative-looking outputs, but is mainly based on learned patterns and existing data |
| Decision-making | Influenced by ethics, emotions, judgment, experience, and social context | Based on data, models, probabilities, and defined objectives |
| Speed | Slower at processing large datasets, but better at meaning-making and contextual judgement | Extremely fast at processing large amounts of data |
| Accuracy | Can make mistakes due to fatigue, bias, emotion, or limited information | Can be highly accurate in well-defined and repetitive tasks, but may fail when data or context changes |
| Adaptability | Can adapt to unfamiliar situations using experience, reasoning, and common sense | Can adapt within trained limits, but is less reliable outside familiar scenarios |
| Emotional intelligence | Can understand, express and respond to empathy and emotions | Can recognise or simulate emotional responses, but cannot genuinely feel emotions |
| Self-awareness | Conscious and self-aware | Has no consciousness, personal experience or self-awareness |
This comparison is best viewed as a practical guide rather than a competition between humans and machines. AI is powerful when the task is clear, data is available, and the system is properly governed; human intelligence remains essential for context, values, accountability and judgement.
To explore the wider implications of AI development, read our post on the ethics of AI: key questions and challenges.
“The development of full artificial intelligence could spell the end of the human race... It would take off on its own, and re-design itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete, and would be superseded.”
FAQs: Human vs AI intelligence
What is the main difference between human intelligence and AI intelligence?Human intelligence is based on understanding, experience, emotion, judgment, creativity and awareness of the world. AI intelligence is based on data, patterns and algorithms. AI can process information very quickly, but it does not truly understand meaning in the same way humans do.
Can AI think like humans?Not exactly. AI can copy some parts of human thinking, such as recognising patterns, answering questions, writing text or making predictions. However, it does not have consciousness, personal experience, emotions or common sense in the same way a human does.
Is AI more intelligent than humans?AI can be better than humans at specific tasks, especially tasks involving large amounts of data, speed and repetition. For example, AI can analyse thousands of images or documents very quickly. However, humans are still stronger in judgement, emotional understanding, moral reasoning, creativity, empathy and adapting to unfamiliar situations.
Can AI replace human intelligence?AI can support or automate certain tasks, but it cannot fully replace human intelligence. In most real-world situations, the best results come when humans and AI work together. AI can provide information or suggestions, while humans make the final judgement based on context, values and responsibility. The strongest use of AI is often not replacement but augmentation: supporting humans in working more effectively while maintaining appropriate human oversight.
Does AI understand emotions?AI can recognise emotional signals in text, voice or images, but it does not feel emotions. For example, it may detect that a message sounds angry or sad, but it does not experience anger or sadness itself. This is an important difference between recognising emotion and truly feeling it.
Can AI be creative?AI can generate creative-looking outputs such as images, music, text, designs or ideas. However, its creativity is based on patterns learned from existing data. Human creativity is different because it is shaped by lived experience, imagination, culture, emotions, intention and personal meaning.
Why is human judgment still important when using AI?Human judgement is important because AI can make mistakes, reflect bias in data, misunderstand context or produce confident but incorrect answers. Humans are needed to check, question and interpret AI outputs, especially in areas such as healthcare, education, law, finance and public services.
Does AI have common sense?AI has limited common sense. It can appear sensible in many situations because it has learned from large amounts of information, but it may still fail on simple real-world reasoning tasks. Humans use everyday experience, context and intuition in ways AI does not genuinely possess.
Can AI learn like humans?AI and humans learn in different ways. Humans can learn from a small number of experiences, apply lessons across different situations and understand meaning. AI usually needs large amounts of data and training. It can be very powerful, but its learning is narrower and more dependent on the data it has been trained on.
What are the strengths of AI compared with humans?AI is strong at speed, scale, pattern recognition, automation and consistency. It can process large datasets, detect trends, generate content and support decision-making. This makes it useful in areas such as medical imaging, fraud detection, language translation, customer support and data analysis.
What are the strengths of human intelligence compared with AI?Humans are strong at empathy, ethical judgement, flexible thinking, leadership, communication, imagination and understanding complex social situations. Humans can also take responsibility for decisions which AI cannot make.
Will AI become conscious in the future?Current AI systems are not conscious. They do not have self-awareness, feelings or personal experiences. Whether machines could ever become conscious is still debated, but today’s AI should be understood as a powerful tool, not a thinking or feeling being.
How should people use AI responsibly?People should use AI as a support tool, not as a replacement for human judgment. AI outputs should be checked, especially when decisions affect people’s lives. Responsible use also means being aware of privacy, fairness, transparency and the limits of AI.
What is the future of human and AI intelligence?The future is likely to be about collaboration rather than competition. AI will continue to help people work faster and make better use of information, while humans will remain essential for judgment, creativity, empathy and responsible decision-making.
How is AI used in digital marketing?AI is widely used in digital marketing to automate tasks, personalise customer experiences, analyse consumer behaviour, optimise advertising campaigns, and improve content recommendations. Businesses use AI tools to increase efficiency and make more data-driven marketing decisions. Learn more about how AI can be used in digital marketing.
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Rameez Kureshi is Programme Director for the MSc in Artificial Intelligence. His research interests include Industry 4.0, sustainability, and smart cities. By combining his expertise in Artificial Intelligence, Data Science, and the Internet of Things (IoT), he tackles environmental and societal challenges.
