Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech

Mallory Avery, Andreas Leibbrandt and Joseph Vecci

No 2023-09, Monash Economics Working Papers from Monash University, Department of Economics

Abstract: The use of Artificial Intelligence (AI) in recruitment is rapidly increasing and drastically changing how people apply to jobs and how applications are reviewed. In this paper, we use two field experiments to study how AI in recruitment impacts gender diversity in the male-dominated

Keywords: Artificial Intelligence; Gender; Diversity; Field Experiment (search for similar items in EconPapers)
JEL-codes: C93 (search for similar items in EconPapers)
Date: 2023-05-01
New Economics Papers: this item is included in nep-big, nep-exp, nep-gen, nep-hrm, nep-lma and nep-ltv
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Citations: View citations in EconPapers (10)

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Working Paper: Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech (2024)
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