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 & citationIncident #138: Unintended Bias in Autonomous Vehicle Decision-Making
Read moreAI Incident 137: Examining a Case of Unintended Bias in Recommender Systems
Read moreAI Incident Analysis #136: Understanding Govern Function in Project Cerebellum's Trusted AI Model
Read moreUnsafe AI Application Incident #135: Understanding Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Read moreExploring Incident #134: Analyzing a Crucial Moment in Responsible AI
Read moreAI Incident 133: Analyzing an Unsafe AI Application and Its Impact on Responsible AI Practices
Read moreExploring Incident #132: Analyzing a Crucial Moment in AI Governance
Read moreAI Incident #131: Examining Unintended Consequences and the Importance of Govern in Responsible AI
Read moreAI Incident 122: Unintended Consequences in Autonomous Vehicle Decision-making
Read moreAI Incident Analysis: Case Study #124 - Fostering Safe & Secure AI
Read moreAI Incident 123: Analysis of an Unintended Consequence
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.