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AI Risk Database
The AI Risk Database links each risk to the source information (paper title, authors), supporting evidence (quotes, page numbers), and to our Causal and Domain Taxonomies. You can copy it on Google Sheets, or OneDrive. Watch our explainer video below.
Search below if you want to explore the risks extracted into our database. This search looks for exact text matches in one field: "Description". It returns information for four fields: "QuickRef", "Risk category", "Risk subcategory", and "Description". For example, try searching for "privacy" to see all risk descriptions which mention this term.
Domain Taxonomy of AI Risks
The Domain Taxonomy of AI Risks classifies risks from AI into seven domains and 24 subdomains.
- View the Domain Taxonomy on a single page
- Read our preprint for more detail on how the Taxonomy was constructed and what it reveals about risks from AI
- Explore the taxonomy in the interactive figure below
Search below if you want to explore how we group risks by domain. This search looks for exact text matches in two fields: "Domain" and "Subdomain". It returns information for six fields: "QuickRef", "Risk category", "Risk subcategory", "Description", "Domain" and "Subdomain". For instance, try searching for "Misinformation" to see all risks categorized in this domain.
Acknowledgments
Feedback and useful input: Anka Reuel, Michael Aird, Greg Sadler, Matthjis Maas, Shahar Avin, Taniel Yusef, Elizabeth Cooper, Dane Sherburn, Noemi Dreksler, Uma Kalkar, CSER, GovAI, Nathan Sherburn, Andrew Lucas, Jacinto Estima, Kevin Klyman, Bernd W. Wirtz, Andrew Critch, Lambert Hogenhout, Zhexin Zhang, Ian Eisenberg, Stuart Russell, and Samuel Salzer.
