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 & citationInterpreting the Moon as a Stop Light: An Unusual AI Misinterpretation
Read moreAccidental YouTube Algorithm Block: A Lesson in Responsible AI for Black-and-White Chess Strategy
Read moreAddressing Content Violations: A Look at Facebook and Twitter's Challenges in the Balkans
Read moreUnderstanding Facebook's Rejection of Certain Fashion Ads: Analyzing AI Incident Within the Govern Function of Project Cerebellum Trusted AI Model (TAIM)
Read moreIncident Analysis: Potential Use of Music for Privacy Protection - Highlighting the Importance of AI Governance
Read moreRisky Content on TikTok: The Hidden Strategy Behind Anorexia Videos
Read moreAI-Powered Mall Robot Incident: Ensuring Safe and Secure AI Operations
Read moreAccount Deactivation of Latina Trans Woman on TikTok: An Examination of AI-Powered Moderation
Read moreAn Examination of an Admissions AI's Impact: Balancing Fairness and Efficiency
Read moreAI-Flagged California Bar Exam Applicants for Suspected Cheating: A Case Study in AI Governance
Read moreEthnicity Detection Algorithm Incident: Alibaba Cloud Unit Under Scrutiny
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.