HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Unveiling Bias in AI: Chest X-Ray Classifiers Show Racial, Gender, and Socioeconomic Bias

This AI incident highlights the need for responsible AI governance. Researchers found evidence of racial, gender, and socioeconomic bias in chest X-ray classifiers, raising concerns about safe and secure AI practices. Join us in promoting harm prevention through Project Cerebellum's AI incident database and help shape trustworthy AI solutions - this AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/81

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.