Algorithm Bias: Case Study of Barred Kidney Transplants for Black Patients - Highlighting Importance of Responsible AI
This alarming incident sheds light on the potential harm an unchecked algorithm can cause. It's a stark reminder of why trustworthy AI, safe and secure AI, and AI governance are crucial. We invite you to join us in efforts to prevent such incidents through Project Cerebellum, our AI incident database aimed at harm prevention. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). 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.