Why convincing answers can still be wrong
Learn
A language model can produce a persuasive explanation while being incorrect. Errors may involve fabricated citations, incorrect calculations, outdated figures, false assumptions or invented details. A common cause is missing context: the assistant completes a pattern even when the real answer should be "I don't know." In professional communication, a confident wrong answer can cause more harm than a clearly stated uncertainty.
Watch for warning signs such as precise statistics with no source, legal statements without a jurisdiction and technical instructions without a specific standard or revision. Even when links are supplied, check that the page exists, is relevant and genuinely supports the claim.
Worked example
An AI draft states: "A company is legally required to retain every project record for seven years." This may be wrong because retention depends on document type, jurisdiction, contracts and applicable law. A better response would identify the missing legal context and ask for the governing requirement.
Practice
Ask an assistant to summarise an unfamiliar public topic. Select three important claims. For each, record the source, publication date, exact supporting wording and your verdict: verified, uncertain, or unsupported. Do not use the draft as a final source.
Key takeaway
Confidence is a writing style, not a quality-control method.
Which AI-generated claim is most urgent to verify?
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