Examining the Algorithm Bias That Delayed Kidney Transplants for Black Patients - Advancing Trustworthy AI
This case study illuminates a concerning bias in an algorithm that adversely affected kidney transplant access for Black patients. It maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Join us in promoting safe, secure, and responsible AI practices, helping prevent such incidents.JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/79
Data 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.