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Artificial Intelligence / EXPLAINER

Why an AI Answer Still Needs Its Sources Checked

Learn how to evaluate an AI answer with citations, distinguish retrieved evidence from generated claims, and test whether a source really supports a statement.

AI illustration of a researcher comparing a softly glowing AI response panel with a primary research document, connected by precise light lines without visible letters.
AI-generated editorial illustration. Concept imagery.

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A link and a supported claim are different things

An AI answer can contain a real link and still make a claim that the linked page does not support. The link might concern the right subject but a different population, date or condition. It might support only one clause of a longer sentence. Evaluating the answer therefore requires checking the relationship between statement and evidence, not merely confirming that a web page opens.

NIST defines retrieval-augmented generation as combining information retrieval with generated output. Its generative-AI risk profile discusses confabulation, including confidently presented false content. Read together, these sources provide an important boundary: retrieval can supply material to a system, but the presence of supplied material does not independently verify every sentence the system produces. The final answer remains an object that needs evaluation.

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