Fact-checking AI content

In one line

Fact-checking AI content means verifying every claim, statistic, quote and citation against a reliable source, because AI can state false information fluently and even invent sources.

What to check

- Statistics and numbers, verify against the primary source - Named sources and citations, confirm they exist and say what's claimed - Facts, dates and definitions, cross-check - Product/technical details, confirm against reality AI 'hallucinations' are confident and plausible, which makes them dangerous.

Why it matters

Published errors damage trust and E-E-A-T, and AI-invented statistics or citations are common. A verification pass is non-negotiable, especially for topics affecting health, money or safety, where accuracy is scrutinised most.

Frequently asked

Does AI make up facts?

Yes, AI can 'hallucinate' plausible but false statistics, quotes and even citations. Always verify claims against primary sources before publishing.

What's riskiest to trust from AI?

Specific statistics, named citations, and technical or medical/financial details, verify these especially carefully.

Put this into practice

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Related

Keep humans in the loop
Why AI content still needs human expertise, judgement and accountability.
What is E-E-A-T?
Google's Experience-Expertise-Authority-Trust quality lens, and how to prove it.