Artificial intelligence. Human consequences.Independent perspectives · English edition
AI Affect.
Everyday AI / Explainer

How to check AI answers before you rely on them

A practical workflow for checking AI-generated claims, citations and calculations, with a worked example and a reusable verification record.

AI Affect · Published October 26, 2026 · AI-assisted explainer

The key idea

Check the claim against independent evidence. A fluent explanation, a second chatbot or a realistic citation does not establish accuracy.

To check an AI answer, identify its important claims, open the underlying sources and confirm that each source supports the exact statement. Recalculate numbers separately. If a claim cannot be verified, keep it unresolved rather than polishing it into certainty. This matters most when an answer will guide a decision or be passed to someone else as fact.

NIST’s Generative AI Profile describes confabulation: generated material can be false while sounding confident, including its supporting citations. That is the background risk. The following workflow is our suggested way to organise a reader’s own checks.

Turn the answer into checkable claims

Suppose a chatbot drafts a paragraph saying a training programme is free, available worldwide and starts next month. Those are three separate claims. A real programme page might establish the price but restrict eligibility to one country. Checking only whether the programme exists would leave the most useful details untested.

Copy the statements that would change your decision into a short list. Include dates, numbers, eligibility rules and quotations. Separate them from suggestions such as “this could be a useful course.” A recommendation needs reasoning; a deadline needs a current authoritative source. Do not spend equal effort checking an incidental adjective and the date you plan to act on.

Open sources and inspect what they actually support

Follow each citation to the original institution, paper or official announcement where possible. Check the title, author, publication date and relevant passage. A working link is only the beginning. The page must support the claim, in the same setting and with the same qualifications. A study of one workplace should not quietly become a statement about every industry.

If the citation is missing or broken, search independently for the named publication. Asking the chatbot for a corrected link may help locate a candidate, but that candidate still needs inspection. Two assistants agreeing can repeat the same underlying error. Record the evidence you actually found instead of recording their agreement.

Use a small verification record

Claim to checkEvidence neededDecision
The course is freeOfficial pricing and any conditionsConfirm or qualify the wording
Anyone can applyEligibility and country restrictionsReplace “anyone” if restrictions apply
Applications close next monthCurrent intake page and exact dateRecord the date and when checked

This is an illustrative template, not a report about a real course. Add a source URL and the passage you used beside each row in your own notes. A useful final status is “confirmed,” “needs qualification,” or “not verified.” Avoid a vague “looks right,” which another reader cannot inspect.

Recalculate numbers outside the answer

Write down the inputs, units and operation. In a hypothetical example, a fall from 80 minutes to 60 minutes saves 20 minutes, or 25% of the original time. Dividing by the new time answers a different question. A correct calculation can still mislead if its denominator or measurement period changes.

For charts and tables, find out whether figures describe observed results, estimates or forecasts. Preserve those labels in your summary. Check totals and rounding with a calculator or spreadsheet rather than relying on the explanation surrounding them.

Make uncertainty visible when sharing

Before sending a document onward, remove unsupported claims or mark what remains unresolved. Keep the links that mattered and state when you checked changing information. If the cost of an error exceeds your ability to verify it, use the responsible qualified person or established review process.

For sensitive source material, start with our chatbot privacy guide. For synthetic audio and video, use the different checks in our deepfake verification explainer. Verification should follow the type of claim and the decision it supports.

Keep exploring

All explainers →