2026-09-20T23:22:28.549Z
- publishedAt:
Not provided→ 2018-10-09T00:00:00.000Z
SOURCE-LINKED INTELLIGENCE
Amazon's Experimental Hiring Tool Allegedly Displayed Gender Bias in Candidate Rankings
Between 2014 and 2017, Amazon reportedly developed an AI-powered recruiting tool to score job applicants, trained on a decade of resumes purportedly drawn largely from men. Media reports say the system learned to favor male candidates, penalizing terms like "women's" and graduates from certain all-women's colleges. Efforts to remove these biases reportedly did not guarantee fairness, and the project was ultimately abandoned. Amazon reportedly states recruiters never solely relied on the tool.
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- recordType
- incident-report
- evidenceStatus
- reported
- region
- Global
Reported occurrence date: 2016-08-10T00:00:00.000Z
Evidence & attribution
- AI Incident Database
- AI Incident Database · 2018-10-09T00:00:00.000Z
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.