{"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":290,"occurred_on":"2022-06-03","title":"False Negatives for Water Quality-Associated Beach Closures","description":"Toronto’s use of AI predictive modeling (AIPM) which had replaced existing methodology as the only determiner of beach water quality raised concerns about its accuracy, after allegedly conflicting results were found by a local water advocacy group using traditional means.","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of capability or robustness","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":"AI tangible harm near-miss","sectors":["human health and social work activities","public administration"],"countries":["CA"],"deployers":["Toronto City Government"],"developers":["Toronto Public Health"],"harmed":["Sunnyside Beachgoers, Marie Curtis Beachgoers, Toronto Citizens"],"report_count":3},{"incident_id":140,"occurred_on":"2020-06-01","title":"University of Toronto's ProctorU Deployment Reportedly Disadvantaged BIPOC Students During Exam Check-Ins","description":"University of Toronto students reported that ProctorU and other online exam-monitoring services created discriminatory and stressful check-in experiences for BIPOC students during remote exams. One U of T student said ProctorU's identity-verification process often failed to recognize her passport, forcing manual checks and consuming exam check-in time. ProctorU said human proctors made final identity and integrity decisions.","mit_domain":"Discrimination and Toxicity","mit_subdomain":"Unequal performance across groups","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":"none","sectors":["education"],"countries":["CA"],"deployers":["University Of Toronto"],"developers":["Proctoru"],"harmed":["University Students, University Of Toronto Students, Students, Educational Communities, Students Of Color"],"report_count":1},{"incident_id":63,"occurred_on":"2018-01-25","title":"Google Photo Merge Decapitates Subject","description":"Google Photos' AI Assistant created a strange hybrid photograph when merging three different pictures from a ski trip.","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of capability or robustness","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":"none","sectors":["arts, entertainment and recreation","information and communication"],"countries":["CA"],"deployers":["Google"],"developers":["Google"],"harmed":["Alex Harker"],"report_count":1}]}