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 & citationMisinterpretation of Traffic Signals by Tesla's Autopilot Highlights Importance of Safe and Secure AI
Read moreLawsuit Over Teacher Evaluation AI System in Houston Schools: A Case for Responsible AI Governance
Read moreYouTube's Role in Radicalization: The Christchurch Shooter Incident – A Cautionary Tale for Safe and Secure AI
Read moreFacebook Struggles with AI Governance: Failing to Combat Misinformation on COVID-19 and Elections
Read moreRobot Announcement Triggers Unease: AI Stated It Might End Humanity
Read moreGovernment Grading on Algorithms: A Failing Grade - The Need for Responsible AI Governance
Read moreExamining Bias in AI: Case Study - UK Passport Photo Checker
Read moreAI Bias Incident: Jewish Baby Stroller Misclassification
Read moreGender Bias Incident in Apple Card Highlights Importance of Trustworthy AI
Read moreCourt Rules Against Discriminatory Deliveroo Rider Ranking Algorithm: Ensuring Trustworthy AI in Service Delivery
Read moreFacebook Charged with Enabling Housing Discrimination: A Case Study in AI Regulation
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.