Stanford's Initial Vaccine Allocation: Prioritizing Medical Residents amid COVID-19
Understanding the initial vaccine allocation prioritization process is crucial for AI governance, ensuring safe and secure healthcare AI sys...
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 & citationApple Card Gender Bias Incident Highlights Importance of Responsible AI in Fintech
This AI incident, involving gender bias complaints against Apple Card, underscores the need for trustworthy AI in financial technology. It m...
Read moreFacebook Faces Housing Discrimination Allegations: A Case for Responsible AI Governance
The U.S. Department of Housing and Urban Development (HUD) has accused Facebook of enabling housing discrimination through its advertising p...
Read moreDeliveroo's Controversial AI Algorithm Found Discriminatory by Court - Highlighting the Importance of Responsible AI Governance
In a recent ruling, Deliveroo's algorithmic decision-making was found to be discriminatory. This AI incident underscores the critical role o...
Read moreFacial Analysis Paused in Job Screening Services: A Step Towards Responsible AI
The temporary halt in facial analysis by job screening services highlights the need for safe and secure AI practices. This incident maps to...
Read moreLawsuit Over Teacher Evaluations in Houston Schools: A Case for Responsible AI
The ongoing lawsuit against the Houston Independent School District highlights the importance of trustworthy AI in education. This AI incide...
Read moreMisinterpretation of Traffic Signals by Tesla's Autopilot Highlights the Importance of Safe and Secure AI
The recent incident involving a Tesla Autopilot mistaking red reflective letters on a flag for traffic lights underscores the critical role...
Read moreNew York Police Department's AI-Powered Canine: A Case Study in Responsible AI Governance
The NYPD's robotic K9 encountered public outcry, highlighting the importance of safe and secure AI governance in our society. This AI incide...
Read moreRace as a High-Impact Predictor in AI-Assisted University Admissions: A Look at Responsible AI Governance
Exploring the use of race as a predictive factor in university student success models, this article highlights the importance of trustworthy...
Read moreRobo-Debt in French Welfare Services: An Examination of AI Incident and Its Impact on Trustworthy AI
This incident involving the creation of 'robo-debt' by French welfare services highlights the importance of safe and secure AI governance. I...
Read moreDiscriminatory Algorithm: A Case Study in the Importance of Safe and Secure AI - Project Cerebellum
This AI incident highlights the potential harm that can result from biased algorithms, underscoring the need for responsible AI governance....
Read moreBlack Voice Recognition Issues Highlighted in Study on Personal AI Assistants - Emphasizing the Need for Responsible AI
A recent study has shed light on black voice recognition issues with personal AI assistants, highlighting the critical role of trustworthy A...
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.