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 149: Unintended Bias in Recommendation System
Read moreAI Incident 148: Unintended Consequences of an Autonomous Vehicle's Decision-Making Algorithm
Read moreExploring Incident #147: Analyzing a Pivotal Moment in AI Governance
Read moreExamining Incident #146: An Instance of AI Malfunction Highlighting the Importance of Safe and Secure AI
Read moreExploring Incident #145: Demonstrating the Importance of AI Governance
Read moreExamining AI Incident #144: Unforeseen Consequences in Autonomous Vehicles
Read moreExploring Incident #135: A Deep Dive into Safe and Secure AI Operations
Read moreAI Incident #137: Unintended Consequences in Autonomous Vehicles
Read moreAnalyzing AI Incident #136: Ensuring Safe and Secure AI Operations
Read moreAnalyzing AI Incident #138: Harm Prevention in Trustworthy AI
Read moreAI Incident Analysis: Understanding Incident #134 in the Context of Safe AI and Project Cerebellum
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.