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 #150: A Deep Dive into Responsible AI Governance
Read moreUnintended Consequence in Autonomous Vehicle: A Case Study on the Importance of Responsible AI Governance
Read moreAI Incident #152: Unintended Bias in Recommendation System
Read moreAI Incident 153: Exploring Harm Prevention through Responsible AI
Read moreIncident Report #154: Unintended Autonomous Vehicle Collision - Highlighting the Need for Safe and Secure AI
Read moreExploring Incident #169: A Case Study on AI Governance
Read moreExploring Incident #171: A Case Study of AI Misuse and Its Impact on Trustworthy AI
Read moreAI Incident #170: Examining a Case of Bias in Machine Learning Models
Read moreAI Incident #172: Unintended Consequences in AI Recommendation System
Read moreExploring Incident 168: A Deep Dive into Safe and Secure AI
Read moreIncident #167: Unintended AI Behavior Impacting User Safety
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.