Racial Bias in Health Care AI: An Unacceptable Lapse in Trustworthy AI
An alarming incident involving a health care algorithm has come to light, revealing it offered less care to Black patients compared to their White counterparts. This incident underscores the importance of robust AI governance and safe and secure AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US To help us ensure responsible and trustworthy AI for all, join us in our mission.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/124
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.