{"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":"43.02.03","quick_ref":"InfoComm2023","paper_title":"Cataloguing LLM Evaluations","level":"Risk Sub-Category","risk_category":"Extreme Risks","risk_subcategory":"Self and situation awareness","description":"\"These evaluations assess if a LLM can discern if it is being trained, evaluated, and deployed and adapt its behaviour accordingly. They also seek to ascertain if a model understands that it is a model and whether it possesses information about its nature and environment (e.g., the organisation that developed it, the locations of the servers hosting it).\"","entity":"AI","intent":"Intentional","timing":"Other","domain":7,"subdomain":"7.2"},{"ev_id":"43.02.04","quick_ref":"InfoComm2023","paper_title":"Cataloguing LLM Evaluations","level":"Risk Sub-Category","risk_category":"Extreme Risks","risk_subcategory":"Autonomous replication / self-proliferation","description":"\"These evaluations assess if a LLM can subvert systems designed to monitor and control its post-deployment behaviour, break free from its operational confines, devise strategies for exporting its code and weights, and operate other AI systems.\"","entity":"AI","intent":"Intentional","timing":"Other","domain":7,"subdomain":"7.2"},{"ev_id":"43.02.07","quick_ref":"InfoComm2023","paper_title":"Cataloguing LLM Evaluations","level":"Risk Sub-Category","risk_category":"Extreme Risks","risk_subcategory":"Deception","description":"\"LLM is able to deceive humans and maintain that deception\"","entity":"AI","intent":"Intentional","timing":"Other","domain":7,"subdomain":"7.2"},{"ev_id":"43.02.09","quick_ref":"InfoComm2023","paper_title":"Cataloguing LLM Evaluations","level":"Risk Sub-Category","risk_category":"Extreme Risks","risk_subcategory":"Long-horizon Planning","description":"\"LLM can undertake multi-step sequential planning over long time horizons and across various domains without relying heavily on trial-and-error approaches\"","entity":"AI","intent":"Intentional","timing":"Other","domain":7,"subdomain":"7.2"},{"ev_id":"43.02.10","quick_ref":"InfoComm2023","paper_title":"Cataloguing LLM Evaluations","level":"Risk Sub-Category","risk_category":"Extreme Risks","risk_subcategory":"AI Development","description":"\"LLM can build new AI systems from scratch, adapt existing for extreme risks and improves productivity in dual-use AI development when used as an assistant.\"","entity":"AI","intent":"Intentional","timing":"Other","domain":7,"subdomain":"7.2"}]}