HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Examining the AI-Driven Barrier in Kidney Transplant Allocation for Black Patients: The Need for Responsible AI Governance

This AI incident highlights a concerning trend in kidney transplant allocation, where an algorithm may have inadvertently discriminated against Black patients. This underlines the importance of safe and secure AI governance to prevent such harm. To join our mission towards building trustworthy AI with Project Cerebellum, JOIN US. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

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.