A living database cataloging over 1600 AI risks with detailed sources and taxonomies for research and awareness.
Explore detailed AI risk data with source links
The MIT AI Risk Repository is a comprehensive database that catalogs over 1600 risks associated with artificial intelligence. It organizes these risks by their causes and domains, linking each entry to original research papers and supporting evidence. This makes it a valuable resource for anyone interested in understanding the complexities and potential dangers of AI.
You can explore the data through an interactive online platform or export it to Google Sheets or OneDrive for your own analysis. The site also offers additional resources like explainer videos and related research links to help you dive deeper into the topic.
Designed for researchers, policymakers, and AI practitioners, the repository provides a clear and structured way to access detailed AI risk information. It stands out by connecting each risk to credible sources and organizing them within a thoughtful taxonomy, making complex information easier to navigate and understand.
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