Artificial Intelligence · Question 7 of 10
How do I verify AI output?
Treat AI output as a draft to check, not a final answer. Confirm facts against reliable sources, test anything operational, and be especially careful with numbers, citations, and claims that sound too clean.
A practical verification routine
- Check factual claims against trusted, primary sources.
- Verify any numbers, dates, and citations independently.
- Test code or instructions before relying on them.
- Be skeptical of confident claims with no source.
- Keep a human in the loop for consequential decisions.
Why it matters most here
AI can produce fluent, convincing output that's wrong. Verification is what makes it safe to use for real work.
Why it matters
Verification is the dividing line between AI as a productivity tool and AI as a source of expensive errors.
A practical way to picture it
Treat AI like a sharp intern's first draft: useful and fast, but you sign off only after checking the facts.
Risks & common mistakes
- Fabricated facts and citations (hallucinations) look real.
- Unverified numbers can propagate into decisions.
- 'It sounded confident' is not verification.
Put it into practice
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Last reviewed 2026-06-25. This topic can change over time; always confirm current specifics from primary sources.