Artificial Intelligence (AI) is the field of computer science focused on building systems that can perform tasks we normally associate with human intelligence — understanding language, recognising images, solving problems, and making decisions.
What it means in plain English
At its simplest, AI is software that can do things that once required a person. Where traditional software follows explicit step-by-step instructions written by a programmer, AI systems are designed to handle messy, open-ended tasks where the “right answer” isn’t fixed in advance — like telling a cat from a dog in a photo, or writing a sensible reply to an email. The term is broad: it covers everything from a chess program to the large language models behind modern chatbots.
It’s worth clearing up a common confusion. The AI in everyday products today is narrow AI — very good at specific tasks, but with no general understanding or consciousness. The “thinking machine” of science fiction, capable of human-like reasoning across any domain, is called artificial general intelligence (AGI), and it does not yet exist. When people talk about “AI” in 2026, they almost always mean narrow, task-specific systems.
A simple example
When your email app automatically sorts a message into “spam,” that’s AI at work. Nobody wrote a rule listing every possible spam email; instead, the system learned the patterns of spam from millions of examples and now applies that learning to new messages. That ability to learn patterns from data, rather than follow hand-written rules, is what makes it “intelligent” in the AI sense.
Why it matters
AI is the umbrella term under which everything else in this glossary sits. Machine learning, deep learning, neural networks, and large language models are all approaches within AI. Understanding that hierarchy makes the rest of the field far easier to follow: AI is the goal (building intelligent systems), and the other terms describe the specific techniques used to get there.
Related terms
- Machine Learning — the main modern approach to building AI, where systems learn from data.
- Artificial General Intelligence (AGI) — hypothetical AI with human-level, general-purpose reasoning.
- Narrow AI — task-specific AI, which is what all of today’s real systems are.
Frequently asked questions
What is artificial intelligence?
Artificial intelligence is the field of building computer systems that can perform tasks normally requiring human intelligence — such as understanding language, recognising images, reasoning, and making decisions.
What is the difference between AI, machine learning, and deep learning?
AI is the broad field; machine learning is a subset where systems learn from data; and deep learning is a subset of machine learning using multi-layered neural networks.
