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 & citationAI Incident Report #111: Understanding Harm Prevention in Trustworthy AI
Read moreUnintended Consequences in AI System #110: A Case Study on Harm Prevention
Read moreExamining Incident #109: A Case Study on Safe and Secure AI
Read moreExploring AI Incident #103: Understanding Safe and Secure AI
Read moreNYPD's Robot Dog Incident: The Importance of Safe and Secure AI in Public Spaces
Read moreUniversities Using Race as a
Read moreThe Emergence of 'Robo-Debt' in French Welfare Services: A Case Study for AI Incident Awareness and Responsible Governance
Read moreThousands Affected by Discriminatory AI Allegation: The Importance of Safe and Secure AI Governance
Read moreStruggles of Personal Voice Assistants with Black Voices Highlighted in New Study - Importance of Responsible AI and Harm Prevention
Read moreAI Incident Analysis: Case Study #105 - Harm Prevention in Responsible AI
Read moreIncident #107: Unintended AI Response Highlights Need for Responsible 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.