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 & citationMisconfigured Reward Systems in AI Operations: A Case Study
Read moreChina Shuts Down Chatbots for Violating Party Lines - An Example of AI Governance
Read moreAutopilot Incident on Highway 101: Assessing Responsibility in AI Governance
Read moreAI Security Robot Self-terminates: A Case Study for Safe and Secure AI
Read moreFatal Robot Accident Highlights Need for Safe and Secure AI: Worker Killed in Welding Incident at Indian Car Parts Factory
Read moreWinter Challenges for Trustworthy Self-Driving Cars: AI Incident Analysis
Read moreGoogle's Self-Driving Car Incident: Software Error Caused Bus Crash - Highlighting the Need for Safe and Secure AI
Read moreMisinterpreted AI Translation Leads to Misunderstanding: Facebook's 'Good Morning' Incident
Read moreAI Incident 133: Analyzing an Unsafe AI Application and Its Impact on Responsible AI Practices
Read moreUnsafe AI Application Incident #135: Understanding Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Read moreExploring Incident #134: Analyzing a Crucial Moment 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.