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 Labor Markets: The National Residency Matching Program
Read moreExamining an Incident of Biased AI: The Importance of Responsible AI Governance
Read moreUnraveling Electric Elves Incident: Understanding Failures, Upholding Responsible AI
Read moreExploring Complications in Robotic Surgery: A Review of 144 Related Deaths since 2000 - Mapping to the Govern Function in Project Cerebellum's Trusted AI Model
Read moreGoogle to Revise Autocomplete Function in Japan: A Case for Responsible AI Governance
Read moreFaulty Google Nest Smart Smoke Alarm Temporarily Discontinued: A Case for Safe and Secure AI
Read moreAddressing Allegations of Bias on LinkedIn: A Case for Responsible AI
Read moreAI Bias Incident: New Zealand Passport Robot Discriminates Against Applicants of Asian Descent
Read moreUnderstanding the Consequences of AI Malfunctions in Business Operations: A Cautionary Tale
Read moreUnderstanding the DAO Incident: A Case Study in AI Governance for Safe and Secure Blockchain
Read moreThe Incident of Microsoft's Tay Chatbot: A Case Study in 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.