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MIT has released a comprehensive AI Risk Repository, which serves as a detailed database of over 700 unique AI risks. This repository synthesizes information from 43 existing frameworks, including peer-reviewed articles, preprints, conference papers, and reports. The database features Causal and Domain taxonomies and is designed to aid organizations, policymakers, and researchers in identifying and mitigating AI risks. It is intended to serve as a common reference for addressing the evolving landscape of AI-related challenges. The repository aims to provide guidance for crafting regulations, such as the EU AI Act and California's SB 1047, where consensus on covered risks has been challenging.
What are the risks from artificial intelligence? ๐งต๐ข Presenting the first-ever AI Risk Repository: a comprehensive living database of 700+ risks extracted, w/quotes & page numbers, from 43(!) existing frameworks. Read & explore here: https://t.co/CAXmuCp4oA https://t.co/7De39tneR7
๐ Comprehensive AI risk database launched by @MIT & others. Synthesizes 43+ frameworks, 700+ risks. Features Causal and Domain taxonomies. Designed as common reference for AI teams, policymakers, researchers to address evolving AI risks effectively โถ https://t.co/NDfQViJRCz
๐ค MIT unveils AI risk repository - a comprehensive database to help guide policymakers, industry & academia in navigating the complex landscape of AI risks. What specific AI risks concern you most? #AIRisks #AIRegulation #FutureofAI https://t.co/03IBteuqUS
