A curated collection of real-world AI failures, mishaps, and cautionary tales. This project documents when AI systems go wrong, from chatbots giving bad legal advice to voice assistants accepting impossible orders.
Research on systemic failures in AI applications identified through news media, exploring risk factors and mitigation taxonomies.
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