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 & citationAI Incident 108: Examining a Critical Moment in Trustworthy AI
Read moreExamining Incident #109 in Project Cerebellum's AI Incident Database: Harm Prevention Through Safe and Secure AI
Read moreIncident #127: Unintended Consequences of Autonomous Vehicle Decision-Making
Read moreIncident 122: Examining an Instance of Unintended Bias in AI Systems
Read moreAI Incident Report: #123 - Harm Prevention Through Responsible AI
Read moreIncident #124: Unintended Consequences in a Chatbot Application
Read moreAI Incident #125: Unintended Consequences in Predictive Model
Read moreAnalyzing AI Incident #126: Understanding Govern Function in HISPI's Project Cerebellum
Read moreAI Incident #129: Examining the Role in Harm Prevention
Read moreAI Incident #131: Unintended Consequences in Predictive Maintenance System
Read moreExamining AI Incident #130: An Exercise in 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.