Values Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
Evidence-based Transparent For governance
AI Incidents
Data source & citationRacial Bias in Healthcare AI: An Unfair Treatment of Black Patients
Read moreCalifornia's New Legislation Aims to Enhance Warehouse Working Conditions and Promote Responsible AI Governance
Read moreUnintended Robot Collision Triggers Fire: An Incident Demonstrating the Importance of Safe AI Governance
Read moreMicrosoft's Controversial Decision: Replacing Human Journalists with AI
Read moreEthical Guardrails for AI: Tech Companies Embrace Responsible AI Governance
Read moreUnfortunate Facebook AI Mishap: Mass Shooting Videos Confused with Car Washes
Read moreAlibaba Expresses Disappointment over Ethnicity Detection Algorithm in Cloud Unit
Read moreExploring Questionable AI Scenarios in California Bar Exam: Responsible AI and Harm Prevention
Read moreHidden Pro-Anorexia Content on TikTok: A Case Study in AI Incident Detection
Read moreAccount Deactivation of a Latina Trans Woman on TikTok: An Examination of AI Bias
Read moreAI-controlled Mall Robot Accident: A Case for Safe and Secure AI
Read moreData source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.