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Brainhub guide

Checking AI answers: how to catch its mistakes

A plain guide for students and parents: why AI gets things wrong, the checks that catch mistakes and the traps that make a wrong answer look right.

Written by the Brainhub Editorial Team Cites published research Updated 14 Nov 2026 6 min read

Key takeaways

1. Why does AI get things wrong?

The Department for Education says generative AIAI that writes text or makes images, such as ChatGPT. can produce “nonsensical, inaccurate or false information presented as fact”, which it calls hallucinationWhen AI states something false or invented as if it were true.. It adds that outputs can also be out of date or unreliable, and that the tools may be trained on data that is not specific to our curriculum.[1]

Glasgow’s guidance for students says AI tools do not “know” the meaning of what they produce, and that they are prone to biases, inaccuracies and mistakes. In other words, the answer is written to sound right, not checked to be right.[2]

2. Why is a confident answer not enough?

Abertay University’s study skills guide puts it plainly: a clear and confident answer is not evidence that it is correct. It also says polished writing, technical detail, links and references do not prove that an answer is reliable.[3]

The same guide warns that a repeated answer, agreement from another AI tool, or an AI saying it has checked its own work does not verify anything, because tools may share the same errors. Asking an AI to list its assumptions is not independent checkingChecking with a source that does not depend on the AI. either.[3]

3. Can you trust the references it gives?

Not without looking. Glasgow says AI tends to produce text that “looks like a citationMade-up references that have the right shape but no real source.” and cannot verify that a source exists, so it can invent references that look real. Its advice is to always find and read your sources.[2]

Abertay adds a second test: confirm that each cited source exists, is suitable and supports the exact claim it is attached to. A real source can still be used to back up something it does not say.[3]

4. What should you check?

Abertay suggests separating the parts of an answer: facts you can check, suggestions, and conclusions. You do not have to judge the whole answer as good or bad. Check each important claim against an original or authoritative source, your course material, a calculation or a qualified person.[3]

It also says to compare the answer with your original question and the marking criteriaThe list of what earns marks in a piece of work., to check that the evidence supports the exact claim being made, and to look for missing evidence or other explanations. For maths and science, it says to reproduce calculations and to run any code yourself, and for languages to check translated terms against the original.[3]

For GCSE and A-level, our own suggestion is to hold a school answer up against the exam board’s specificationThe exam board's list of what you must know. and mark schemeThe exam board's guide to what earns each mark., which show what a mark is actually given for. That tip is ours, not from the three sources above.

5. A quick checklist

The table sums up the checks from the sources in this guide.[1]

Check
What to do
Facts and dates
Compare with your textbook, class notes or an official page, and check the date
Numbers and code
Redo the calculation yourself; run the code
References
Find the source, read it, and see that it says what the AI claims
Question and criteria
Does the answer address what you were asked, and the marking criteria?
Second opinion
Ask your teacher, tutor or a library source; another AI is not independent

6. Who is responsible for the final answer?

You are. Glasgow says you are responsible for checking AI output carefully, and that using AI at any point has to be acknowledged. The DfE makes the same point for professionals: whoever produces a document remains responsible for its quality and content, whatever tools were used, and AI cannot replace the judgement and deep subject knowledge of a human expert.[2]

Our guide to whether using AI is cheating covers the rules, and using AI alongside tutoring shows how a tutor can help you spot weak answers.[2]

7. How Brainhub can help

A tutor is a human check. In a lesson we can go through an AI answer with you, find what is wrong and explain why, so you build the knowledge to catch it next time. We coach and explain, and we never complete assessed work for a student. See our online tutoring page for how lessons work, and the contact form to ask.

Try it now

Test yourself on this page

Answer in your head first, then check.

  1. 1. What does the DfE call false information that AI presents as fact?

  2. 2. Does agreement from a second AI tool prove an answer is right?

  3. 3. What should you do with an AI reference?

  4. 4. Who is responsible for the final answer?

Your next steps

  1. Pick one answer an AI gave you this week.

  2. Check each fact against your notes or an official page.

  3. Find and read any source it named.

  4. Ask your teacher or tutor about anything you cannot check.

Sources

  1. Department for Education. Generative artificial intelligence (AI) in education (GOV.UK policy paper, updated 12 August 2025, read 14 November 2026). gov.uk/government/publications/generative-artificial-intelligence-in-education/generative-artificial-intelligence-ai-in-education
  2. University of Glasgow. Generative AI: information for students (university guidance, read 14 November 2026). gla.ac.uk/myglasgow/sld/ai/students
  3. Abertay University. Critically evaluating AI (study skills guide for students, read 14 November 2026). intranet.abertay.ac.uk/students/study-skills/guides/generative-ai/critically-evaluating-ai

This guide is general study advice. Every student is different. A teacher can help you work out what fits.