Artificial intelligence (AI) vs Machine learning

Why they differ

AI is the whole goal of making computers act smart; machine learning is one way to get there, by learning from examples instead of written rules.

Artificial intelligence (AI)

Machine learning basics

Computer systems that do tasks we normally link to human thinking, such as spotting patterns, answering questions or making choices.

Formal

A broad field and a label for systems that, for a set of goals chosen by people, produce outputs such as predictions, content, advice or decisions that affect the world around them, with some level of independence.

In plain English

An umbrella word, like “vehicle”, covering everything from a simple filter that sorts junk mail by fixed rules to a chat assistant that writes whole reports.

In practice

A supplier tells a region's purchasing team that its new HR tool “uses AI”; the team asks whether it actually sorts job applications, writes text or makes decisions about staff.

Why it matters

The label alone says little about risk; laws such as the EU AI Act judge a system by what it is used for, so buyers and users must ask what it really does.

Machine learning

Machine learning basics

Building computer systems that find patterns in examples and use them to make guesses, instead of following rules a person wrote.

Formal

A branch of AI in which a program improves at a task by adjusting its own internal numbers from training data, so that its behaviour comes from the data rather than from hand-written instructions.

In plain English

Like learning to tell ripe from unripe fruit by handling thousands of pieces, rather than being handed a written list of rules.

In practice

A Danish bank's fraud system is shown millions of past card payments marked genuine or fraudulent, and learns to flag new payments that resemble the fraudulent ones for a person to review.

Why it matters

Because the behaviour comes from data, nobody wrote down the rules, so the quality, fairness and safety of the result depend on the data and are harder to check.