{"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":143,"occurred_on":"2021-02-16","title":"Facebook’s and Twitter's Automated Content Moderation Reportedly Failed to Effectively Enforce Violation Rules for Small Language Groups","description":"Facebook's and Twitter were not able to sufficiently moderate content of small language groups such as the Balkan languages using AI, allegedly due to the lack of investment in human moderation and difficulty in AI-solution design for the languages.","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":["information and communication"],"countries":["RS"],"deployers":["Facebook, Twitter"],"developers":["Facebook, Twitter"],"harmed":["Facebook Users Of Small Language Groups, Twitter Users Of Small Language Groups"],"report_count":1}]}