{"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":"66.11.04","quick_ref":"Li2025","paper_title":"A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents","level":"Risk Sub-Category","risk_category":"Physical","risk_subcategory":"Property damage","description":"\"Action(s) that lead directly or indirectly to the damage or destruction of tangible property eg. buildings, possessions, vehicles, robots\"","entity":"Other","intent":"Other","timing":"Other","domain":6,"subdomain":"6.6"},{"ev_id":"66.12.01","quick_ref":"Li2025","paper_title":"A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents","level":"Risk Sub-Category","risk_category":"Environment","risk_subcategory":"Pollution","description":"\"Actual or potential pollution to the air, ground, noise, or water caused by a technology system\"","entity":"AI","intent":"Other","timing":"Other","domain":6,"subdomain":"6.6"},{"ev_id":"66.12.02","quick_ref":"Li2025","paper_title":"A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents","level":"Risk Sub-Category","risk_category":"Environment","risk_subcategory":"Excessive energy consumption","description":"\"Excessive energy use resulting in energy bottlenecks and shortages for communities, organisations and businesses\"","entity":"Other","intent":"Unintentional","timing":"Other","domain":6,"subdomain":"6.6"}]}