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 & citationFrench Welfare Services and the Emergence of 'Robo-Debt': An Exploration into AI Incident Harm Prevention
Read moreDiscriminatory AI Allegedly Mistakes Thousands of Families for Fraud: A Case Study on Responsible AI Harm Prevention
Read moreStruggles of Personal Voice Assistants with Black Voices Highlighted in a Recent Study - A Reminder for Responsible AI Development
Read moreBias in Twitter's Image Cropping Algorithm: White Faces and Women Disproportionately Represented
Read moreExploring the Impact of California's AI-Driven Vaccine Distribution Algorithm on 2 Million Residents
Read moreAutopilot: A Debate on Safety - Tesla vs. Crash Victims
Read moreSouth Korean Chatbot Incident Highlights Importance of Safe and Secure AI
Read moreAI Incident: Huawei's Controversial Patent for Uighur Detection Surfaces - Highlighting the Need for Safe and Secure AI Governance
Read moreAI Misidentification at Roller Rink: A Case for Responsible AI and Safe and Secure AI Practices
Read moreFacial Recognition Website: A Double-Edged Sword Requiring Responsible AI Governance
Read moreUnderstanding the Impact of AI on Healthcare: Preventing Harm through Responsible 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.