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Checking an AI answer: sounding right is not enough
Review the connection between sources, dates, numbers and conclusions before relying on an answer.
Clear headings and technical language can make an answer seem trustworthy. Presentation is not evidence of accuracy. AI may produce a false link, an outdated rule or a study title that was never published. Verification matters especially for health, legal and financial decisions.
Select the important claim first
Find the sentence that would change your decision. “This service is free” or “This method suits everyone” deserves priority when your action depends on it. Ask which conditions and limits apply.
Actually open the source
A working link is not enough; the page must support the claim. Check the institution, date and topic. For a named study, verify the authors and publication details. Another page repeating the same assertion is not necessarily independent confirmation.
Separate numbers from interpretation
Which group and time period does a percentage describe? An association does not automatically establish causation. Distinguish what the source says from the system's interpretation. Even current information may not apply to your country or circumstances.
Accept uncertainty as a result
Choosing not to act on unverified information can be a good outcome. Mark the claim as awaiting review and ask a suitable professional if needed. The assistant repeating its original answer is not new evidence. Reliable use means checking according to risk, not automatically rejecting every response.
Sources and further reading
NIST — Generative Artificial Intelligence Profile (AI 600-1)