Algorithm Bias and the Denial of Kidney Transplants to Black Patients: A Case Study in Unfair AI Practices
Exploring an instance of racial bias in AI decision-making, this case study highlights the urgent need for responsible AI governance. Such algorithmic discrimination is unacceptable, and we at Project Cerebellum are committed to preventing harm through our AI incident database and the development of guardrails for AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape trustworthy 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.