LESSON 1 · 5 MIN
How AI learns from examples
AI doesn't think like a person — it finds patterns in lots of data.
Instead of being given every rule, many AI systems are shown thousands of examples — like photos labelled "cat" or "dog" — and learn the patterns themselves. This is called machine learning.
The examples are called training data. If the training data is small or one-sided, the AI learns a lopsided picture of the world.
That's why people who build AI check their data carefully.
Key idea
An AI is only as good as the examples it learned from.
Try it
If you taught an AI what "fruit" is using only apples, what might it get wrong?