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Algorithmic Monocultures in Hiring

Quality: 9/10 Relevance: 9/10

Summary

Algorithmic Monocultures in Hiring presents the largest empirical study of algorithmic hiring to date, analyzing 3.4 million applications across 156 employers and 11 sectors, revealing racial disparities and homogeneous outcomes when the same vendor's hiring algorithms are used across multiple employers. The paper shows per-position adverse impact, systemic rejection risks, and calls for policy changes and greater data access for independent research.

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