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 AI in Examination Integrity: California Bar Exam Cheating Incident
Read moreAlibaba Expresses Disappointment Over Ethnicity Detection Algorithm in AI Cloud Unit: A Reminder for Responsible AI Governance
Read moreUnwanted Mix-up of Harmful Content: Facebook AI Moderator Errs Videos of Mass Shootings and Car Washes
Read morePlacing Responsible Ethical Guardrails for AI: A Look at Tech Firm Initiatives
Read moreMicrosoft Replacing Human Journalists with Robots: A Case Study in AI Governance
Read moreUncontrolled Fire Triggered by AI Incident in Ocado Warehouse: Understanding the Importance of Safe and Secure AI
Read moreNew California Law Targets Amazon: Advancing Responsible AI in Warehouse Management
Read moreAI in Medical Imaging: Uncovering the Potential Bias in X-Ray Analysis
Read moreAddressing AI Bias: The Case of 'Genderify' and the Importance of Trustworthy AI
Read moreExploring Bias in TikTok's Algorithm: A Discussion on Responsible AI
Read moreUnfair AI Penalties: Amazon's AI Cameras Mistaking Human Errors
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.