Core conceptSafety

Hallucination

When AI states something false as if it were true. It predicts fluent text, so a wrong answer can still sound confident.

A confident answer can still be wrong A factual question gets a fluent, confident answer that may be invented, so it needs checking. A CONFIDENT ANSWER, POSSIBLY WRONG Ask a factual question Fluent, confident answer may be invented Fluent does not mean true. Check anything factual.

A hallucination is when AI says something untrue with a straight face. Because a large language model works by predicting fluent text, not by looking facts up, it can produce a clean, confident answer that is simply wrong: a made-up quote, a fake statistic, a source that does not exist.

The fix is a habit, not a setting: treat AI as a fast drafter, not an oracle. Check anything factual, and switch on web search for current facts so Claude can cite real sources.

Often confused with: A simple mistake or a lie. The model is not lying; it has no idea it is wrong, because it predicts plausible text rather than checking truth.

See it in a lesson: How generative AI works

Further reading

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