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The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

2026

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AI-generated summary

1) This repository provides a comprehensive, unified foundation for understanding and managing the diverse risks posed by artificial intelligence.
2) * A database of 1,725 AI risks extracted from 74 existing frameworks.
* Two complementary taxonomies: a Causal Taxonomy (entity, intent, timing) and a Domain Taxonomy (seven societal impact areas).
* Analysis revealing that human decisions contribute nearly as many AI risks as AI systems themselves.
3) AI risks, taxonomy, database, artificial intelligence, governance

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