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 & citationUnveiling Bias in AI Systems: The Case of 'Racist in the Machine'
Read moreExamining the Mishap of Electric Elves: Understanding Governance for Responsible AI
Read moreRobotic Surgery: A Closer Look at Potential Complications and Deaths – Emphasizing the Need for Safe AI Governance
Read moreGoogle to Modify Autocomplete Function: An Instance of AI Governance
Read moreFaulty Feature Prompts Google's Nest to Temporarily Halt Sales of its Smart Smoke Alarm - Emphasizing Safe and Secure AI
Read moreExamining LinkedIn's Controversy over Gender Bias Allegations: A Call for Responsible AI Governance
Read moreAI Incident in New Zealand: Passport Robot Discriminates Against Applicant
Read moreUnderstanding Potential Consequences of AI System Errors in Companies: The Importance of Responsible AI
Read moreUnderstanding the Impact of DAO Incident on AI Governance: Soft Fork vs Hard Fork
Read moreThe Tay Incident: A Case Study in Responsible AI and Harm Prevention
Read moreSilicon Valley: An Incident of a Security Robot Injuring a Toddler Highlights the Need for Safe and Secure 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.