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 & citationStruggles in Regulating AI-Driven Content Violations on Facebook and Twitter - A Call for Responsible AI Governance
Read moreDebunking the Neural Net Tank Urban Legend: A Case Study for Safe and Secure AI
Read moreResponsible AI in Focus: Assessing Google's Autonomous Vehicles Incidents in California
Read moreUnauthorized Access to Apple's Face ID: A Case for Safe and Secure AI
Read moreAverting a Global Nuclear Disaster: The Heroic Role of Stanislav Petrov in 1983 - A Case Study for Safe and Secure AI
Read moreBoeing's 737 Max 8 Incident: An Example of AI Leaking Abstractions and the Importance of Responsible AI
Read moreRole of AI in 2010 'Flash Crash': UK Speed Trader Arrested - Highlighting the Importance of Safe and Secure AI
Read moreAI Incident: Facial Recognition Unlocks Smartphone in China
Read morePotential discovery of Amazon's commercial-based Echo activation prevention
Read moreUnauthorized Use of AI Assistant Leads to Police Raid: Understanding Responsible AI Governance
Read moreGermany: Deadly Incident Involving AI-Guided Robot at Volkswagen Plant - Understanding the Role of 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.