The Tool Desk
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How do I fact-check an AI answer?
Check the claims one by one rather than judging an answer by how fluent or confident it sounds. The House of Commons Library puts it plainly: “AI should be treated as an assistant, not an authority.” Generative AI can produce incorrect or incomplete statements and citations that are made up or misrepresented.
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- Decide what is at stake. If the answer could affect health, safety, money, legal rights, employment, or another important decision, plan for a higher standard of verification and appropriate expert review. The House of Commons Library cautions that AI cannot replace professional judgment, subject expertise, or trusted sources.
- Split the answer into checkable claims. Mark factual statements separately, including names, dates, figures, quotations, laws, policies, and claims attributed to a source. A paragraph can mix well-supported facts with errors, so do not treat it as one indivisible answer.
- Trace claims to evidence. Prefer original documents and datasets, official statistics, government and organizational sources, legislation, regulators, peer-reviewed research, or a knowledgeable subject expert. Secondary reporting can provide context or leads; for important claims, follow those leads to the underlying evidence where possible.
- Test each source against the exact claim. Confirm that the source exists, is relevant, and directly supports what the AI says it supports. A real page may be unrelated to the statement, and a citation that looks plausible is not proof.
- Check date and context. Note when a source was published or updated and whether the claim could have changed. For a statistic or policy, check the population, geography, definitions, and time period it covers. Compare related statements in the answer for contradictions.
- Seek independent confirmation when appropriate. Look for another source with relevant evidence that is genuinely independent. Several pages repeating the same unsupported claim do not establish it.
- Resolve or retain uncertainty. Correct claims the evidence contradicts, qualify claims that are only partly supported, and remove claims you cannot substantiate. For specialist or high-impact material, ask a qualified expert to review it.
- Review what you will use or share. Check the final text for missing context, inconsistent claims, bias, and private or confidential details. Edit it and take responsibility for the version you use.
How can I verify information from ChatGPT or another AI?
Use the same claim-by-claim process regardless of which generative AI system produced the answer. Start with the parts most likely to mislead or cause harm: precise numbers, dates, named people or organizations, quotations, legal or policy statements, and claims that rest on a citation.
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A source about the same general subject may not support the specific detail in the answer. Compare the AI’s wording with the evidence: does the source establish the same fact, for the same place, time period, and group of people? If the answer turns a qualified finding into a universal statement, preserve the source’s limits.
Check whether the information is current
Look at the source’s publication or update date and consider how quickly the subject changes. A source can accurately describe an earlier law, policy, price, or statistic without establishing that it remains true now. Use a current authoritative source when currency matters.
Distinguish corroboration from repetition
Independent confirmation is more valuable than a growing stack of pages that repeat one another. If several sources appear to rely on the same original statement, trace them back and assess that evidence instead of counting each repetition as a separate confirmation.
How do I check whether an AI citation is real?
- Open the link. Confirm that it loads and leads to the source the AI names. Do not rely on a citation’s formatting or on text that merely looks like a URL.
- Inspect the source itself. Check its title, publisher, date, and subject. Make sure it is an appropriate source for the claim, rather than a similarly named or unrelated page.
- Find the supporting passage or data. Verify that the source says what the answer attributes to it. Read enough surrounding context to catch qualifications, exclusions, or a different meaning.
- Check status and currency. Look for notices that a page has been updated, superseded, or withdrawn. A page can be genuine but no longer current for the question at hand.
- Record what the source actually establishes. If the support is narrower than the AI’s wording, narrow the wording too; if there is no support, do not cite it as evidence.
A working link only establishes that a page exists. It does not establish that the page is authoritative, current, or evidence for the sentence beside it.
Can an AI detector tell me whether an answer is true?
No. AI-authorship detection and fact-checking answer different questions. The House of Commons Library describes AI-text detection tools as unreliable, and NIST’s text-to-text evaluation concerns distinguishing AI-generated from human-written text—not deciding whether a factual claim is true. A detector result therefore cannot verify the evidence behind an answer.
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Nor does asking the same model to check its own response replace external evidence. Use sources and qualified expertise to assess truth; do not treat a confident tone, a detector result, or repeated reassurance as verification.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When should I stop checking and ask an expert?
Ask a qualified person when the answer is specialist, consequential, or still uncertain after checking the available sources—especially if it could affect health, safety, finances, legal rights, or employment. The House of Commons Library says: “The best guard against hallucinations from AI is to check everything generated carefully, ideally with an expert.” Follow any applicable workplace, school, or professional rules before using AI-generated material.
Guidance has a defined scope: UNESCO’s guidance concerns education and research. NIST’s 2024 overview of synthetic-content approaches addresses transparency, provenance, labeling, detection, testing, and auditing; it is not a consumer method for proving that a text claim is accurate. The UK Government’s Generative AI Framework for HMG page is marked withdrawn, so it should not be treated as current government policy.
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