Use an AI-generated answer as a lead, not as evidence. Check each important claim against the links it cites, trace quotations and summaries to original sources, and look for independent confirmation—especially when the answer could affect a decision. The House of Commons Library puts it plainly: “AI should be treated as an assistant, not an authority.”
Why an AI answer needs checking
Fluent writing is not proof of accuracy. AI can produce plausible but incorrect, incomplete, or misleading claims, and citations can be invented, irrelevant, outdated, or used in a way that misrepresents what a source says. Treat factual statements as unverified until you check them. The House of Commons Library recommends asking AI for sources, then clicking the links and checking whether they are trustworthy.
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A 2023 study of four generative search engines—Bing Chat, NeevaAI, Perplexity, and YouChat—found that 51.5% of generated sentences were fully supported by citations, and 74.5% of citations supported their associated sentence. Those figures describe the systems, queries, and evaluation in that study, not the accuracy of all current AI products. They illustrate why seeing a citation is not the same as verifying a claim. Read the study.
A practical workflow for checking an AI-generated answer
- Turn the answer into checkable claims. Separate dates, figures, quotations, causal explanations, and other factual statements. A long paragraph may contain several claims that need different evidence.
- Open the citations for consequential claims. Confirm that each page loads and supports the specific claim—not merely the general topic. Check for missing context, qualifications, or a publication date that makes the information stale. The House of Commons Library advises readers to click AI-provided links and assess the sources.
- Identify who is behind each source. Look for the author and publisher, relevant expertise, intended audience, aims, funding, and publication or update date. Ask how the source got its evidence and whether it explains its methods. Peer review can be useful, but it does not guarantee reliability.
- Read laterally. Leave the page and search for independent reporting or authoritative reference material about the claim and the source itself. Comparing outside coverage can help establish who is behind a page and whether its claims are corroborated. Stanford CRAFT describes this approach as lateral reading.
- Trace quotations and summaries to their origins. When a page quotes another source or summarizes a study, document, transcript, or recording, find the original where practical. Compare the wording and surrounding context before repeating the claim.
- Compare the evidence, not just the conclusions. Check whether sources are genuinely independent, what evidence each relies on, and where they agree or disagree. For a time-sensitive claim, look for the latest relevant primary source.
- Get qualified human review when the stakes justify it. A subject expert may spot missing context or methodological problems in specialized, contested, legal, or policy questions. Spend more time checking claims when an error could have serious consequences.
How to compare sources without a magic score
No checklist can certify a source as trustworthy, and there is no universal numeric score that settles the question. Use these criteria to guide judgment:
#1 Best Overall
- Fit: Does the source address the precise question, or only a related subject?
- Authority: Does the author or publisher have relevant expertise on this topic?
- Evidence and method: Can you see where the information came from and how it was produced?
- Independence: Are apparently different sources relying on one original report or repeating one another?
- Coverage: Does broader independent reporting agree, disagree, or add important context?
- Currency: When was the source published or updated, and is the claim likely to have changed?
- Aims and limitations: Is the source transparent about its purpose, funding, or constraints?
- Original context: Can you inspect the underlying document, dataset, study, or recording?
The House of Commons Library’s source-evaluation checklist discusses currency, relevance, authority, purpose, and worldview. The University of Nevada, Reno Libraries guide covers investigating sources, finding better coverage, and tracing original context.
When to apply extra scrutiny
Spend more effort verifying definitive factual answers, contested issues, legal or policy interpretations, and claims presented as impartial analysis. The House of Commons Library identifies these as areas where AI is less reliable and human oversight matters. Check dates carefully whenever the answer concerns a current rule, figure, event, or recommendation; a once-correct source may no longer be current.
Rank #2
For library services, the American Library Association also advises disclosing when third-party AI processes user data or influences search and recommendations, explaining those choices, and offering a meaningful non-AI or minimally automated path where available. This is guidance for libraries, not a description of the privacy terms of every consumer AI service. Read the ALA guidance.
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Further reading on lateral reading
Verified: How to Think Straight, Get Duped Less, and Make Better Decisions about What to Believe Online, by Mike Caulfield and Sam Wineburg, is a practical guide to verifying online information that builds on SIFT and lateral reading. The University of Chicago Press lists a print edition. See the publisher’s book page.
Quick Recap
Best Value
Rank #3
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