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 & citationExploring Incident #159: A Deep Dive into Safe AI Practices
Read moreIncident #158 - Harm Prevention in AI: Unintended Consequences
Read moreIncident 157: Examining an Instance of Unintended Bias in AI Systems
Read moreAI Incident #156: Unintended Bias in Recommendation System
Read moreAI Incident #155: Unintended Consequences in Autonomous Vehicles - A Case Study for Safe and Secure AI
Read moreAI Incident #154: Exploring Harm Prevention in Responsible AI
Read moreAI Incident #145: An Examination of a Critical Failure
Read moreIncident 147: Unintended AI Behavior Impacting User Privacy
Read moreExploring Incident #146 in the AI Governance Landscape: Enhancing Harm Prevention Through Trustworthy AI
Read moreIncident 148: Unintended Autonomous Vehicle Acceleration
Read moreIncident Report: Unintended Consequences of Autonomous Vehicles - The Role of Govern in Trustworthy AI
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.