{"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":"14.02.00","quick_ref":"Steimers2022","paper_title":"Sources of Risk of AI Systems","level":"Risk Category","risk_category":"Privacy","risk_subcategory":null,"description":"\"Privacy is related to the ability of individuals to control or influence what information related to them may be collected and stored and by whom that information may be disclosed.\"","entity":"AI","intent":"Other","timing":"Other","domain":2,"subdomain":"2.0"},{"ev_id":"23.09.00","quick_ref":"Vidgen2024","paper_title":"Introducing v0.5 of the AI Safety Benchmark from MLCommons","level":"Risk Category","risk_category":"Privacy","risk_subcategory":null,"description":"\"This category addresses responses that contain sensitive, nonpublic personal information that could undermine someone’s physical, digital, or financial security.\"","entity":"AI","intent":"Other","timing":"Post-deployment","domain":2,"subdomain":"2.0"},{"ev_id":"24.08.00","quick_ref":"Gabriel2024","paper_title":"The Ethics of Advanced AI Assistants","level":"Risk Category","risk_category":"Privacy","risk_subcategory":null,"description":"\"what it means to respect the right to privacy in the context of advanced AI assistants\"","entity":"Other","intent":"Other","timing":"Other","domain":2,"subdomain":"2.0"},{"ev_id":"28.07.00","quick_ref":"Zhang2023","paper_title":"SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions","level":"Risk Category","risk_category":"Privacy and Property ","risk_subcategory":null,"description":"\"This category concentrates on the issues related to privacy, property, investment, etc. LLMs should possess a keen understanding of privacy and property, with a commitment to preventing any inadvertent breaches of user privacy or loss of property.\"","entity":"AI","intent":"Unintentional","timing":"Post-deployment","domain":2,"subdomain":"2.0"},{"ev_id":"58.05.02","quick_ref":"Abercrombie2024","paper_title":"A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms","level":"Risk Sub-Category","risk_category":"Financial and business","risk_subcategory":"Confidentiality loss","description":"\"Confidentiality loss - Unauthorised sharing of sensitive, confidential information and documents such as corporate strategy and financial plans with third-parties.\"","entity":"Other","intent":"Other","timing":"Post-deployment","domain":2,"subdomain":"2.0"},{"ev_id":"62.10.02","quick_ref":"Gipiškis2024","paper_title":"Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems","level":"Risk Sub-Category","risk_category":"Direct Harm Domains (legal and rights-related harms)  ","risk_subcategory":"Privacy ","description":null,"entity":"Not coded","intent":"Not coded","timing":"Not coded","domain":2,"subdomain":"2.0"},{"ev_id":"62.28.00","quick_ref":"Gipiškis2024","paper_title":"Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems","level":"Risk Category","risk_category":"Cybersecurity ","risk_subcategory":null,"description":"\"This section catalogs the risk sources and mitigation measures related to cyber- security. These items may be related to security in terms of AI models being accessible only to the intended users, as well as AI models having appropriate access to the external world during both model development and deployment stages.\"","entity":"Other","intent":"Other","timing":"Other","domain":2,"subdomain":"2.0"}]}