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 & citationThe Impact of Brand Safety Technology on News Defunding - Understanding Responsible AI Governance
Read moreExploring the Impact: The Case of an Admissions AI Algorithm
Read moreAI-controlled Mall Robot Incident: Harm Prevention and Safe AI in Focus
Read moreAccount Deletion of a Latina Trans Women on TikTok: An Incident Highlighting the Need for Responsible AI Governance
Read moreTikTok Anorexia Videos Evade 'Pro-Ana' Ban by Misusing Hashtags: A Case Study on AI Incident and Harm Prevention
Read moreOverhyped AI Claims in Medicine: A Cautionary Tale for Responsible AI
Read moreCalifornia's Warehouse Labor Bill Targeting Amazon: A Step Towards Responsible AI Governance
Read moreAI in Medical Imaging Accurately Identifies Patient Demographics: A Call for Responsible AI Governance
Read moreUnplanned Shutdown of Ocado Warehouse: Three Colliding Robots Highlight Importance of Safe and Secure AI
Read moreSettlement of $550 Million Over Facial Recognition Tech Highlights Need for Responsible AI Governance
Read morePossible Use of Autonomous Weapon System in Libya: Raising Questions on Safe and Secure 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.