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 & citationNear-Miss Incident Between Two Driverless Cars Highlights Importance of Safe and Secure AI Governance
Read moreAI-guided Robot Accident at Volkswagen Plant Highlights Need for Responsible AI Governance
Read moreResponsible AI Matter: Self-Driving Bus Crash After Launch – An Opportunity for Harm Prevention
Read moreBel-Air Blaze: AI Model Helps Firefighters Prepare for Unpredictable Weather — Stay Informed with Project Cerebellum
Read moreThe Evolution of the Turing Test: Unveiling Chatbot Limitations in Intelligence
Read moreDeadly California Accident Highlights Importance of Safe and Secure AI - Tesla's Self-Driving Autopilot Incident
Read moreBias in Online Advertisement Delivery: An Examination of AI Incidents
Read moreAddressing Unintentional Gender Bias in Google Image Search: A Step Towards Responsible AI
Read moreSmart Reply in Gmail's Inbox: A Step Towards Trustworthy AI
Read more10 Shocking Instances Illustrating the Need for Responsible AI Governance: Preventing AI Mishaps
Read moreUnpredictable AI Operations Beyond Traditional Office Hours
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.