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 & citationPlacing Responsible Ethical Guardrails for AI: A Look at Tech Firm Initiatives
Read moreUnwanted Mix-up of Harmful Content: Facebook AI Moderator Errs Videos of Mass Shootings and Car Washes
Read moreAlibaba Expresses Disappointment Over Ethnicity Detection Algorithm in AI Cloud Unit: A Reminder for Responsible AI Governance
Read moreExploring AI in Examination Integrity: California Bar Exam Cheating Incident
Read moreAI-Misused: Hidden Pro-Anorexia Content on TikTok Despite Hashtag Filters
Read moreAccount Suspension of Latinx Transgender User on TikTok Highlights Need for Trustworthy AI
Read moreAI-Operated Mall Robot Incident: Understanding Safe and Secure AI Operations
Read moreZillow's Home Buying Exit and Staff Reduction - A Case Study on Safe and Secure AI
Read moreExamining Key Autonomous Vehicle Incidents of Waymo, Pony.AI, Olli and Their Implications for Trustworthy AI Development
Read more'I felt colossally naive': A closer look at the controversy surrounding a birth control app
Read moreAnalysis of Softbank's Misstep: AI Robot Fails to Perform Tasks
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.