{"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":"2026-09-12"}
{"rows":[{"incident_id":126,"occurred_on":"2021-07-16","title":"Three Robots Collided, Sparking Fire in a Grocer's Warehouse in UK ","description":"A collision involving three robots at an Ocado's warehouse in Erith, UK, resulting in a fire but no reports of injuries.","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":["wholesale and retail trade","transportation and storage"],"countries":["GB"],"deployers":["Ocado"],"developers":["Ocado"],"harmed":["Ocado"],"report_count":3},{"incident_id":80,"occurred_on":"2020-10-24","title":"AI mistakes referee’s bald head for football — hilarity ensued","description":"In a Scottish soccer match the AI-enabled ball-tracking camera used to livestream the game repeatedly tracked an official’s bald head as though it were the soccer ball.","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"],"countries":["GB"],"deployers":["Inverness Caledonian Thistle Football Club"],"developers":["Unknown"],"harmed":["Livestream Viewers"],"report_count":2},{"incident_id":87,"occurred_on":"2020-10-07","title":"UK passport photo checker shows bias against dark-skinned women","description":"UK passport photo checker shows bias against dark-skinned women.","mit_domain":"Discrimination and Toxicity","mit_subdomain":"Unequal performance across groups","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":"none","sectors":["public administration"],"countries":["GB"],"deployers":["UK Home Office","Government of the United Kingdom"],"developers":["UK Home Office","Government of the United Kingdom"],"harmed":["Women and girls","Women","dark-skinned women","dark-skinned people"],"report_count":1},{"incident_id":64,"occurred_on":"2018-01-22","title":"Customer Service Robot Scares Away Customers","description":"Heriot-Watt Univeristy in Scotland developed an artificially intelligent grocery store robot, Fabio, who provided unhelpful answers to customer's questions and \"scared away\" multiple customers, according to the grocery store Margiotta.","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":["wholesale and retail trade"],"countries":["GB"],"deployers":["Heriot Watt University, Margiotta"],"developers":["Heriot Watt University"],"harmed":["Store Patrons"],"report_count":1},{"incident_id":162,"occurred_on":"2014-01-01","title":"ETS Used Allegedly Flawed Voice Recognition Evidence to Accuse and Assess Scale of Cheating, Causing Thousands to be Deported from the UK","description":" International testing organization ETS admits voice recognition as evidence of cheating for thousands of previous TOEIC test-takers that reportedly included wrongfully accused people, causing them to be deported without an appeal process or seeing their incriminating evidence.","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 event","sectors":["education","public administration"],"countries":["GB"],"deployers":["ETS"],"developers":["ETS"],"harmed":["UK Home Office","UK ETS test takers","UK ETS past test takers"],"report_count":1},{"incident_id":43,"occurred_on":"1998-03-05","title":"St George's Hospital Medical School allegedly Automated Admissions with Discriminatory Results","description":"From 1982 to 1986, St George's Hospital Medical School used a program to automate a portion of their admissions process that allegedly discriminated against women and members of ethnic minorities.","mit_domain":"Discrimination and Toxicity","mit_subdomain":"Unfair discrimination and misrepresentation","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":"none","sectors":["education","human health and social work activities"],"countries":["GB"],"deployers":["St George's Hospital Medical School"],"developers":["Geoffrey Franglen"],"harmed":["Women and girls","Women","Minority groups"],"report_count":4}]}