HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Uncovering Bias in AI Chest X-Ray Classification: A Call for Responsible AI

Recent research reveals racial, gender, and socioeconomic bias in chest X-ray classifiers. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Harm prevention is crucial for safe and secure AI development. JOIN US to learn more about our efforts towards trustworthy AI governance.

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.