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 & citationUnauthorized Access to iPhone X via Mask Trick Highlights Need for Safe and Secure AI
Read moreCalifornia Accidents Highlight Importance of Responsible AI Governance in Autonomous Vehicles - Google, Delphi Self-Driving Cars
Read moreDeadly AI Incident at Volkswagen Plant Highlights Need for Responsible AI Governance
Read moreLessons from the Self-Driving Shuttle's First-Day Incident: Enhancing Trustworthy AI
Read moreExamining Waze's Response to Los Angeles Wildfires: A Case Study in AI Incident Analysis
Read moreThe Role of Govern in Addressing the Limitations of Modern AI: The Case of a Challenging Turing Test
Read moreAutopilot Incident: Tesla Driver Watching Movie Causes Collision with Police Car - Emphasizing AI Responsibility
Read moreExploring Concerns in Google's Ad Targeting System: A Responsible AI Perspective
Read moreInvestigation of Amazon Warehouse Bear Spray Accident Highlights Need for Responsible AI in Harm Prevention
Read moreControversial AI Software Company Shifts Focus Towards Responsible AI Governance
Read moreDebiasing Word Embeddings: Promoting Fairness in AI Development for Responsible and Trustworthy AI Systems
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.