What is Artificial Intelligence?

Artificial Intelligence — or AI — is software that can perform tasks we normally think require human intelligence. That includes understanding language, recognising images, making recommendations, and predicting outcomes.

Not magic. Maths.

AI is not thinking. It is not conscious. It has no feelings or opinions. What it does is find patterns in large amounts of data, then use those patterns to respond to new situations.

Traditional software follows explicit rules that programmers write. If a customer enters their email in the wrong format, the software says "invalid email" — because a programmer wrote exactly that rule. AI works differently: instead of rules, it learns from examples.

A simple example

Show an AI system a million photos labelled "cat" or "not a cat" and it will learn to tell the difference — without anyone ever writing rules like "look for pointy ears" or "check for whiskers". It figures out the pattern itself, from the data.

Three things worth knowing

• AI learns from data. The more relevant data it sees, the better it gets — but that also means it can learn the wrong things if the data is biased or incomplete.
• AI makes mistakes. It can be confidently and completely wrong. It cannot tell you when it does not know something.
• AI is a tool. Like any tool, it can be used well or badly. The decisions about how to use it remain human decisions.

A New Zealand example

When ANZ flags a suspicious transaction on your card, that is AI comparing your purchase to patterns in millions of past transactions and spotting an anomaly. When Trade Me suggests items you might like, that is AI analysing what similar shoppers have browsed and bought. AI is already woven into everyday New Zealand life — we just rarely see it labelled as such.

AI is not going to replace you. But a person who knows how to use AI well might do your job faster, better, or both.

Before you move on

Can you answer this: what is the main difference between traditional software (which follows rules) and AI (which learns from data)? Keep that distinction in mind — it underpins almost everything else in this course.