{"attribution":{"source":"AI Incident Database (Responsible AI Collaborative)","license":"CC BY-SA 4.0","license_url":"https://creativecommons.org/licenses/by-sa/4.0/","citation":"McGregor, S. (2021). Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. Proceedings of the AAAI Conference on Artificial Intelligence (IAAI-21).","snapshot_date":"2026-09-07"},"exported_at":"2026-09-11"}
{"rows":[{"incident_id":42,"occurred_on":"1996-04-03","title":"Inefficiencies in the United States Resident Matching Program","description":"Alvin Roth, a Ph.D at the University of Pittsburgh, describes the National Resident Matching Program (NRMP) and suggests future changes that are needed in the algorithm used to match recently graduated medical students to their residency programs.","mit_domain":"Socioeconomic & Environmental Harms","mit_subdomain":"Competitive dynamics","entity":"Other","intent":"Other","timing":"Other","harm_level":null,"sectors":[],"countries":[],"deployers":["National Resident Matching Program"],"developers":["National Resident Matching Program"],"harmed":["Medical Residents"],"report_count":2}]}