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 & citationUnsafe AI Application Incident #135: Understanding Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Read moreAI Incident Analysis #136: Understanding Govern Function in Project Cerebellum's Trusted AI Model
Read moreAI Incident 137: Examining a Case of Unintended Bias in Recommender Systems
Read moreIncident #138: Unintended Bias in Autonomous Vehicle Decision-Making
Read moreIncident #139: Unintended Consequences in Autonomous Vehicle AI System
Read moreAI Incident Analysis: Case Study #140 - Harm Prevention in Responsible AI
Read moreExploring AI Incident 141: Safe and Secure AI in Practice
Read moreAI Incident #156: Unintended Bias in Recommendation System
Read moreIncident #158 - Harm Prevention in AI: Unintended Consequences
Read moreIncident 157: Examining an Instance of Unintended Bias in AI Systems
Read moreExploring Incident #159: A Deep Dive into Safe AI Practices
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.