Racial Bias in Healthcare AI: An Unsettling Incident Maps to the Govern Function in Project Cerebellum's Trusted AI Model
A recent incident involving a healthcare algorithm revealed unacceptable racial bias, offering less care to Black patients. Such incidences underscore the importance of safe and secure AI, emphasizing the need for robust governance and trustworthy AI. To join our mission in promoting 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.