{"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":"2026-11-12"}
{"rows":[{"ev_id":"65.23.03","slug":"impact-on-jobs","quick_ref":"IBM2025","paper_title":"AI Risk Atlas ","level":"Risk Sub-Category","risk_category":"Non-technical risks (Societal impact)","risk_subcategory":"Impact on Jobs ","description":"\"Widespread adoption of foundation model-based AI systems might lead to people's job loss as their work is automated if they are not reskilled.\"","entity":"Human","intent":"Unintentional","timing":"Post-deployment","domain":6,"subdomain":"6.2","url":"https://aipolicytracker.org/ai-risk/risks/impact-on-jobs"},{"ev_id":"65.23.07","slug":"human-exploitation","quick_ref":"IBM2025","paper_title":"AI Risk Atlas ","level":"Risk Sub-Category","risk_category":"Non-technical risks (Societal impact)","risk_subcategory":"Human exploitation ","description":"\"When workers who train AI models such as ghost workers are not provided with adequate working conditions, fair compensation, and good health care benefits that also include mental health.\"","entity":"Human","intent":"Other","timing":"Pre-deployment","domain":6,"subdomain":"6.2","url":"https://aipolicytracker.org/ai-risk/risks/human-exploitation"}]}