{"attribution":{"source":"MIT AI Risk Repository, Domain Taxonomy of AI Risks v1 (MIT AI Risk Initiative)","license":"CC BY 4.0","license_url":"https://creativecommons.org/licenses/by/4.0/","citation":"Slattery, P., Saeri, A. K., Grundy, E. A. C., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S., & Thompson, N. (2025). The AI Risk Repository: A comprehensive meta-review, database, and taxonomy of risks from artificial intelligence. arXiv:2408.12622."},"exported_at":"2026-09-11"}
{"rows":[{"ev_id":"61.01.03","quick_ref":"Uuk2025","paper_title":"A Taxonomy of Systemic Risks from General-Purpose AI ","level":"Risk Sub-Category","risk_category":"Types of systemic risks from general-purpose AI","risk_subcategory":"Discrimination ","description":"\"The creation, perpetuation or exacerbation of inequalities and biases at a large-scale.\"","entity":"Other","intent":"Other","timing":"Post-deployment","domain":1,"subdomain":"1.1"},{"ev_id":"61.02.29","quick_ref":"Uuk2025","paper_title":"A Taxonomy of Systemic Risks from General-Purpose AI ","level":"Risk Sub-Category","risk_category":"Sources of systemic risks from general-purpose AI ","risk_subcategory":"Incomplete or biased training data","description":"\"Incomplete or biased training data can lead to discriminatory AI outputs.\"","entity":"Other","intent":"Unintentional","timing":"Post-deployment","domain":1,"subdomain":"1.1"}]}