Abstract

Firms increasingly rely on artificial intelligence (AI) algorithms for hiring. The literature prompts concerns about such AI algorithms hindering gender equality in employment outcomes. Using a unique field study, I find human recruiters’ gender stereotypes lead to women having 69% lower chances of being interviewed for a gender-neutral job, compared to equally qualified men. Introducing automated resume screening shrinks such a gender gap by 43 percentage points. • Firms increasingly rely on artificial intelligence algorithms for hiring. • Artificial intelligence algorithms can increase existing gender gaps in employment outcomes. • I perform a unique field study inside a private company. • I find artificial intelligence algorithms can reduce gender inequality in hiring.

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