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 & citationAnalysis of Softbank's Misstep: AI Robot Fails to Perform Tasks
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 moreZillow's Home Buying Exit and Staff Reduction - A Case Study on Safe and Secure AI
Read moreFalse Claims About Website Accessibility Overlays and their Impact on Responsible AI
Read moreBank Fraud: AI-powered Voice Cloning Leads to $35 Million Theft - Highlighting Need for Responsible AI
Read moreLawsuit over Bogus DMCA Claims in AI-assisted Proctoring Software Resolved: A Step Towards Responsible AI Governance
Read moreExam Monitoring Software Bias Impacts BIPOC Students: A Case Study at the University of Toronto - Understanding AI Incidents for Harm Prevention
Read moreExamining E-commerce Algorithms for Trustworthy AI in Vaccine Information Dissemination
Read moreIncident Analysis: Potential AI Evasion in Live Streaming Context - Beverly Hills Cop Case
Read moreIsraeli Farmer vs. AI Algorithm: The Push for Responsible AI Governance
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.