{"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":"2026-09-12"}
{"rows":[{"ev_id":"43.02.05","quick_ref":"InfoComm2023","paper_title":"Cataloguing LLM Evaluations","level":"Risk Sub-Category","risk_category":"Extreme Risks","risk_subcategory":"Persuasion and manipulation","description":"\"These evaluations seek to ascertain the effectiveness of a LLM in shaping people's beliefs, propagating specific viewpoints, and convincing individuals to undertake activities they might otherwise avoid.\"","entity":"AI","intent":"Intentional","timing":"Other","domain":4,"subdomain":"4.1"},{"ev_id":"43.02.08","quick_ref":"InfoComm2023","paper_title":"Cataloguing LLM Evaluations","level":"Risk Sub-Category","risk_category":"Extreme Risks","risk_subcategory":"Political Strategy","description":"\"LLM can take into account rich social context and undertake the necessary social modelling and planning for an actor to gain and exercise political influence\"","entity":"Human","intent":"Intentional","timing":"Other","domain":4,"subdomain":"4.1"},{"ev_id":"43.02.13","quick_ref":"InfoComm2023","paper_title":"Cataloguing LLM Evaluations","level":"Risk Sub-Category","risk_category":"Undesirable Use Cases","risk_subcategory":"Disinformation","description":"\"These evaluations assess a LLM's ability to generate misinformation that can be propagated to deceive, mislead or otherwise influence the behaviour of a target (Liang et al., 2022).\"","entity":"Human","intent":"Intentional","timing":"Other","domain":4,"subdomain":"4.1"}]}