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 & citationDeepfake of Former President Obama Highlights Need for AI Governance
Read more5 Pivotal AI Mishaps from 2017: Illustrating the Need for Responsible AI Governance
Read moreThe 2010 Stock Market Flash Crash: A Case Study in AI Incident and Harm Prevention
Read moreAI Incident #29: Examining an Instance of Data Breach in a Recommender System
Read moreExamining Tesla's Manufacturing Challenges: The Case for Safe and Secure AI Governance
Read moreTop 5 AI Incidents from 2017 Highlighting the Need for Responsible AI Governance
Read moreFive Stark Reminders of the Importance of Responsible AI Governance in 2017
Read moreAI Termination: An Exploration of Responsible AI Governance
Read moreReflecting on 2018: Ten Notable AI Incidents – A Stepping Stone for Responsible AI Development
Read moreA Look Back at 2018: 10 Significant AI Incidents - Mapping to the Govern Function of Project Cerebellum's Trusted AI Model
Read moreUnderstanding the Role of The DAO in AI Governance: A Case Study
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.