Algorithmic Monocultures in Hiring

A study finds shared hiring algorithms can amplify adverse impact and systemic rejection across employers.

This study analyzes 3.4 million real applicants and 4 million applications across 156 U.S. employers. It finds position-level racial adverse impact that aggregate analysis can obscure, especially affecting Black and Asian applicants. The authors also show that reliance on a single vendor can create homogeneous outcomes and systemic rejections, calling for stronger audits, surveillance, and researcher access.

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