AI Literacy · Intermediate

AI hallucinations: why chatbots make things up and how to check

A ‘hallucination’ is when an AI produces something false but convincing — a made-up statistic, fake book, wrong date or invented quote.

Ages
11+ (rough guide)
Level
Intermediate
Subject
AI Literacy
Time
20 minutes
Format
Online + printable
  1. 1Learn it
  2. 2See it worked
  3. 3Try it online
  4. 4Print it
  5. 5Check your answer

Before you start

Who it's for and what to know first

Knowing roughly how chatbots predict text.

Learn it

How it works

  • Why it happens: the model produces likely-sounding text, and a plausible fake can be ‘likely’.
  • Warning signs: very specific numbers without sources, references you cannot find, and answers that change when you ask again.
  • Check routine: (1) Is it important? (2) Find the claim in a reliable source such as an official site, reputable news or a textbook. (3) Check any references actually exist. (4) Ask the AI for its uncertainty. (5) If it matters — health, money, law — ask a qualified person.
  • Some tools can search the web and show links; still open the links and read them.

Worked example 1

A chatbot says ‘According to a 2019 Oxford study, 83% of cats prefer jazz.’ What do you do?

  1. Very specific statistic plus a vague source — warning signs.
  2. Search for the study on Oxford's site or a research database.
  3. If you cannot find it, treat it as invented.

Answer: Do not use it unless you can find the actual study.

Try it online · print it · check it

Practice questions

Answer each scenario: trust, check or ask an expert. Type your answer, then press Check answers.

Tips

Common mistakes

  • Checking only by asking the same AI ‘are you sure?’.
  • Trusting a confident tone. AI tools sound equally sure when they are wrong.

Last reviewed: 25 September 2026