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 & citationLow-Risk Federal Prisoner Release Tool: Uncovering AI Incidents for Responsible Governance
Read moreFirst Felony Charges in Fatal Accident Involving Autopilot: A Case for Responsible AI Governance
Read moreThe Challenges in Delivering Trustworthy AI: Case Study - SoftBank's Humanoid Robot
Read moreUnderstanding At-Fault Robotaxi Incidents Involving Waymo, Pony.AI, Olli, and the Future of Trustworthy AI
Read more'Feeling naive' revisited: The aftermath of the controversy surrounding the birth control app
Read moreZillow Exiting Home Buying Business: An Example of AI Risk Management in Housing Market
Read moreExploring Inaccurate Claims in Website Accessibility Overlays - A Responsible AI Perspective
Read moreUnauthorized Access: Voice Cloning Leads to $35 Million Bank Heist – Highlighting the Need for Trustworthy AI
Read moreExploring the Ethics of AI: Can a Machine Adopt Morality?
Read moreAI Interpreting Moon as a Stop Light: An Unexpected Incident in AI Image Recognition
Read moreThe Negative Impact of Brand Safety Technology on News Funding: 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.