<ul><li>The AI Risk Repository is a comprehensive and categorized database, aiming to provide a common understanding of risks posed by Artificial Intelligence (AI).</li><li>It consists of 777 risks extracted from 43 taxonomies, which can be filtered based on two overarching taxonomies.</li><li>The repository includes a high-level causal taxonomy classifying risks based on factors like entity, intentionality, and timing, along with a mid-level domain taxonomy classifying risks into seven AI risk domains and 23 subdomains.</li><li>By curating, analyzing, and extracting AI risk frameworks, this repository facilitates a more coordinated and complete approach to defining, auditing, and managing the risks associated with AI systems.</li></ul>

The AI Risk Repository: A Comprehensive Meta-Review, Database, and Taxonomy of Risks From Artificial Intelligence

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