{"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":"11.01.03","quick_ref":"Shelby2023","paper_title":"Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction","level":"Risk Sub-Category","risk_category":"Representational Harms","risk_subcategory":"Erasing social groups","description":"people, attributes, or artifacts associated with specific social groups are systematically absent or under-represented... Design choices [143] and training data [212] influence which people\nand experiences are legible to an algorithmic system","entity":"Human","intent":"Unintentional","timing":"Other","domain":1,"subdomain":"1.3"},{"ev_id":"11.03.00","quick_ref":"Shelby2023","paper_title":"Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction","level":"Risk Category","risk_category":"Quality-of-Service Harms","risk_subcategory":null,"description":"\"These harms occur when algorithmic systems disproportionately underperform for certain groups of people along social categories of difference such as disability, ethnicity, gender identity, and race.\"","entity":"AI","intent":"Unintentional","timing":"Post-deployment","domain":1,"subdomain":"1.3"},{"ev_id":"11.03.01","quick_ref":"Shelby2023","paper_title":"Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction","level":"Risk Sub-Category","risk_category":"Quality-of-Service Harms","risk_subcategory":"Alienation","description":"Alienation is the specific self-estrangement experienced at the time of technology use, typically surfaced through interaction with systems that under-perform for marginalized individuals","entity":"Other","intent":"Unintentional","timing":"Post-deployment","domain":1,"subdomain":"1.3"},{"ev_id":"11.03.02","quick_ref":"Shelby2023","paper_title":"Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction","level":"Risk Sub-Category","risk_category":"Quality-of-Service Harms","risk_subcategory":"Increased labor","description":"increased burden (e.g., time spent) or effort required by members of certain social groups to make systems or products work as well for them as others","entity":"Other","intent":"Unintentional","timing":"Post-deployment","domain":1,"subdomain":"1.3"},{"ev_id":"11.03.03","quick_ref":"Shelby2023","paper_title":"Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction","level":"Risk Sub-Category","risk_category":"Quality-of-Service Harms","risk_subcategory":"Service/benefit loss","description":"degraded or total loss of benefits of using algorithmic systems with inequitable system performance based on identity","entity":"AI","intent":"Unintentional","timing":"Post-deployment","domain":1,"subdomain":"1.3"}]}