2026-09-20T23:22:28.549Z
- publishedAt:
Not provided→ 2020-10-21T00:00:00.000Z
SOURCE-LINKED INTELLIGENCE
Researchers find evidence of racial, gender, and socioeconomic bias in chest X-ray classifiers
A study by the University of Toronto, the Vector Institute, and MIT showed the input databases that trained AI systems used to classify chest X-rays led the systems to show gender, socioeconomic, and racial biases.
Read original source ↗ Open in workspace
- recordType
- incident-report
- evidenceStatus
- reported
- region
- Global
Reported occurrence date: 2020-10-21T00:00:00.000Z
Evidence & attribution
- AI Incident Database
- AI Incident Database · 2020-10-21T00:00:00.000Z
AI Incident Database, Responsible AI Collaborative; McGregor (2021), Preventing Repeated Real World AI Failures by Cataloging Incidents. Incident-specific contributor credits are available at each citation link. Metadata adapted; article text excluded.
License: CC BY-SA 4.0
First collected: 2026-09-19T22:50:59.123Z. This is not the publication date.
Observed changes
AIIC observation times, not verified publisher revision times. Up to eight recent revisions.