AI

A regulator's guide to measuring hallucination risk in generative ai: metrics, tests, and mitigation steps

I spend a lot of time testing models and reading the fine print of AI evaluation papers. Over the past few years I’ve watched the same problem crop up in every product demo, policy brief, and internal risk review: generative models confidently produce false or misleading outputs — "hallucinations" — and regulators need practical, measurable ways to assess that risk. This article is my...

May 25, 2026 by Anaïs Dupont
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A regulator's guide to measuring hallucination risk in generative ai: metrics, tests, and mitigation steps

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