AI Risk Repository

• Publisher: MIT FutureTech/ MIT AI Risk Initiative
• Status: active
• Version: 2025
• Release Date: 2025-01-01
• Date Added: 2025-12-11
• Source URL: https://airisk.mit.edu/

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Summary

The AI Risk Repository is a comprehensive database capturing over 1700 AI risks, categorized by causal and domain taxonomies. It is aimed at researchers, developers, policymakers,and organizations to provdie a strctured understanding of AI-related risks and support responsible AI governance and risk management.

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Key Takeaways

• Over 1700 AI risks classified by causal factors such as entity, intent, and timing
• Provides a structured, downloadable database for research and policy development
• Helps users identify and manage AI risks across technical, social, and governance dimensions

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Additional Sources

• https://orx.org/resource/cause-and-impact-operational-risk-reference-taxonomy — operational risk taxonomy, common causes, and impacts for financial institutions
• https://www.nist.gov/system/files/documents/2021/10/15/taxonomy_AI_risks.pdf — categorization of AI risks, harms, and risk types for AI management

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Tags

ai-risk, governance, mit, fairness, privacy, security, ethics

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License

CC-BY