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HackerOne's List of Top 10 AI EMB(arrassments)

ID: 0d6acf39-b0b6-5ca8-b6da-a10aeaff3c0e

STIX ID: report--0d6acf39-b0b6-5ca8-b6da-a10aeaff3c0e

Feed Name: HackerOne Blog

Date Published: 2024-11-27

Date Updated: 2026-06-12

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This article describes ten common AI 'embarrassments'—examples where AI systems produced incorrect, offensive, biased, or misleading outputs (e.g., false discounts, fictional products, offensive images or language, inaccurate historical depictions)—and emphasizes the need for safe development, testing, and governance to avoid reputational harm.

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