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BiasMedium

Amazon's Experimental Hiring Tool Allegedly Displayed Gender Bias in Candidate Rankings

Occurred
Aug 10, 2016
Published
Oct 10, 2018
Source
AI Incident Database

Summary

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.

Developers

  • Amazon

Deployers

  • Amazon

Harmed parties

  • Women applying to Amazon
  • Women and girls
  • Women
  • Amazon applicants

Classification

Category confidence: 95%
Severity confidence: 90%

Rationale: AI hiring tool exhibited gender discrimination against female candidates due to biased training data.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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