Critique of Algorithm Use in Government: Highlighting the Need for Responsible AI Governance
This analysis examines the use of algorithms by government entities, revealing areas where improvements are necessary to ensure trustworthy...
Read moreValues 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 & citationBias in AI: UK Passport Photo Checker Shows Discrimination Against Dark-Skinned Women - A Harmful AI Incident
This incident underscores the need for responsible AI governance. The biased passport photo checker system, which disproportionately fails d...
Read moreAnalyzing the Jewish Baby Stroller Image AI Algorithm: Ensuring Responsible AI
Exploring an AI algorithm that misclassified a Jewish baby stroller. Understanding how incidents like these highlight the need for trustwort...
Read moreYouTube's Radicalization Trap: The Christchurch Shooter Incident and the Need for Responsible AI
Exploring how AI, particularly YouTube algorithms, may have contributed to the radicalization process of the Christchurch shooter. This inci...
Read moreVaccine Allocation Incident at Stanford University Highlights Importance of AI Governance
This incident involving the allocation of early COVID-19 vaccines at Stanford University underscores the need for robust AI governance in pu...
Read moreApple Card: Addressing Gender Bias in Fintech AI - A Responsible AI Challenge
The recent gender bias complaints against Apple Card highlight the urgent need for trustworthy AI in finance. This AI incident maps to the G...
Read moreFacebook Charged for Enabling Housing Discrimination: A Case of AI Accountability
The U.S. Department of Housing and Urban Development (HUD) has charged Facebook for facilitating housing discrimination through its ad platf...
Read moreDeliveroo Uses Controversial AI Algorithm for Delivery Assignment: A Look at Potential Bias
In this case, the court ruled that Deliveroo's AI algorithm exhibited discrimination in delivery assignment. This AI incident maps to the Go...
Read moreFacial Analysis Suspension in Job Screening Services: A Step Towards Responsible AI
A job screening service has halted facial analysis of applicants, demonstrating the importance of trustworthy AI. This AI incident maps to t...
Read moreLawsuit Over Teacher Evaluation AI System in Houston Schools Raises Important Questions on Responsible AI Governance
This AI incident, concerning a lawsuit over an alleged flawed teacher evaluation system in Houston schools, highlights the need for robust A...
Read moreTesla Autopilot Misidentifies Red Traffic Lights: A Reminder of the Need for Trustworthy AI
The Tesla Autopilot system misreading red traffic lights highlights the importance of safe and secure AI, a key focus of Project Cerebellum....
Read moreYouTube Videos Misleading Children: A Concern for Responsible AI
Recent disturbing YouTube videos have been observed tricking children, highlighting the need for safe and secure AI. This AI incident maps t...
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.