Examining AI Bias: The Case of Algorithmic Barriers in Kidney Transplants for Black Patients
This case study delves into an instance where an algorithm inadvertently favored white patients over black ones, causing a delay in kidney transplantations. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). It underscores the importance of responsible AI governance, and our ongoing efforts towards trustworthy, safe, and secure AI. Ready to help shape responsible AI? 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.