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 & citationAI Mishap: Amazon's Phone Case Designer Misfires, Highlighting the Need for Responsible AI
Read moreChild injured by crime-fighting AI-powered robot in Silicon Valley mall: A reminder of the need for safe and secure AI
Read moreAutopilot Malfunction Claims Life While User Was Watching Harry Potter: A Case Study in Responsible AI
Read moreGoogle's Algorithm: Examining Potential Bias in Search Results - Emphasizing Safe and Trustworthy AI
Read moreExploring Responsible AI in Law Enforcement: The Role of Govern in Policing the Future
Read moreAlexa Malfunction Leads to Inappropriate Content Playback - Emphasizing Need for Safe and Secure AI
Read moreAnalyzing an Unwanted Outcome in AI: A Case Study - Russian Chatbot Endorsing Stalin and Violence
Read moreFacial Analysis App Removes Filters Amid Controversy over Racism Concerns - Emphasizing the Importance of Responsible AI Governance
Read moreAutomatically Derived Semantics with Human-Like Biases: A Look into Trustworthy AI
Read more1983 Soviet Nuclear False Alarm Incident: A Pivotal Moment for AI Governance and Harm Prevention
Read moreTransparency concerns in Centrelink's debt recovery system: A case for 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.