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 paper presents a comprehensive repository and taxonomy of AI risks, providing a unified foundation for risk assessment, governance, and auditing.
2) * A comprehensive AI Risk Database containing 1,725 risks from 74 frameworks.
* Two complementary taxonomies: a Causal Taxonomy (classifying risks by entity, intent, and timing) and a Domain Taxonomy (organizing risks across seven societal impact areas).
* Analysis revealing that human decisions cause nearly as many AI risks (38%) as AI systems themselves (42%), and that 13% of categorized risks relate to the pre-deployment phase.
3) AI risk, taxonomy, repository, meta-review, database

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