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 & citationFacebook Accused of Enabling Housing Discrimination: An Example of AI Misuse in HUD's Perspective
Read moreDeliveroo Algorithm Found Discriminatory by Court: An Examination of AI Governance
Read moreFacial Analysis Paused in Job Screening Services: Emphasizing Responsible AI Governance
Read moreLawsuit Over AI-Based Teacher Evaluations in Houston Schools: A Case Study for Responsible AI Governance
Read moreAI Incident Analysis #114: Understanding and Preventing Harm through Responsible AI
Read moreExamining Incident #109: A Case Study on Safe and Secure AI
Read moreUnintended Consequences in AI System #110: A Case Study on Harm Prevention
Read moreAI Incident Report #111: Understanding Harm Prevention in Trustworthy AI
Read moreIncident #112: Unintended Bias in Recommendation System
Read moreExploring Incident #113: Analyzing a Real-World Example of AI Malfunction
Read moreAI Incident 116: Assessing Impact on Trustworthy 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.