AI Algorithm Bias Prevention: Uncovering the Barrier to Kidney Transplants for Black Patients — Mapping to Govern Function in Project Cerebellum
Explore how a biased AI algorithm may have affected kidney transplant outcomes, shedding light on the importance of AI governance and responsible AI. Learn more about harm prevention through our guardrails for AI with Project Cerebellum. 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.