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 #135: A Deep Dive into Safe and Secure AI Operations
Read moreAI Incident Analysis: Understanding Incident #134 in the Context of Safe AI and Project Cerebellum
Read moreUnsafe Autonomous Vehicle Incident #133: A Reminder for AI Governance
Read moreExamining AI Incident #104: A Case Study in Responsible AI
Read moreRace Used as Predictor in AI Models for Student Success: A Case Study on Major Universities
Read moreFrench Welfare Services' 'Robo-Debt' Incident: An Examination of Responsible AI and Harm Prevention
Read moreDiscriminatory AI Allegedly Falsely Accuses Thousands: A Case for Safe and Secure AI
Read moreStudy Reveals Challenges in Understanding Black Voices by Personal Voice Assistants - A Harm Prevention Issue for Trustworthy AI
Read moreAI Incident 103: An Examination of a Trustworthy AI Mishap
Read moreAI Incident #107: Unintended Bias in Speech Recognition System
Read moreExamining Incident #109 in Project Cerebellum's AI Incident Database: Harm Prevention Through Safe and Secure 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.