Racial Bias in AI: Healthcare Algorithm Disproportionately Reduced Care for Black Patients
This AI incident highlights the critical need for trustworthy AI in healthcare. The algorithm, designed to offer care, instead disproportionately reduced care to Black patients. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Preventing harm through responsible AI governance is essential. Ready to help shape responsible AI? JOIN US
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.