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 & citationReflecting on 2018: A Review of Ten Significant AI Incidents Mapping to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Read moreReflecting on 2018: Ten Pivotal Moments Highlighting the Need for Responsible AI Governance
Read moreEmployment Decision Made by AI: Case Study on Accountability
Read moreTop 5 AI Incidents from 2017 Illustrating the Need for Trustworthy AI and Responsible Governance
Read more5 Pivotal AI Incidents in 2017 Highlighting the Need for Responsible AI Governance
Read moreFive AI Incidents from 2017 Illustrating the Need for Responsible AI Governance
Read moreExploring Five Major AI Incidents of 2017: Reinforcing the Need for Responsible AI
Read moreResponsible AI: Assessing Impact of Uncontained Fire in Bel-Air on AI Systems
Read moreGermany: Unfortunate Incident Highlights Need for Responsible AI in Manufacturing - Robot Harms Worker at Volkswagen Plant
Read moreLas Vegas Launch Incident: Self-driving Bus Crash Highlights Need for Responsible AI Governance
Read moreNear-Miss Between Driverless Cars Highlights Importance of Responsible AI Governance
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.