Work

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

Year: 2023

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.4370805

Authors: Mallory Avery, Andreas Leibbrandt, Joseph Vecci

Institutions: Monash University, University of Gothenburg

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Gender equality, Reduced inequalities, Decent work and economic growth

Open Access status: green

OpenAlex ID: W4322742241

Cites: 2

Cited by: 49

Related to: 10