Can Artificial Intelligence Improve Gender Equality? Evidence from a Natural Experiment

65 Pages Posted: 14 Sep 2022

Date Written: August 27, 2022

Abstract

Gender stereotypes and discriminatory practices in the education system are important reasons for women's under-representation in many fields. How to create a gender-neutral learning environment when teachers' gender composition and mindset are slow to change? Artificial intelligence (AI)'s recent development provides a way to achieve this goal. Engineers can make AI trainers appear gender neutral and not take gender-related information as input. We use data from a natural experiment where AI trainers replace some human teachers for a male-dominated strategic board game to test the effectiveness of such AI training. The introduction of AI improves boys' and girls' performance faster and reduces the pre-existing gender gap. Class recordings suggest that AI trainers' gender-neutral emotional status can partly explain the improvement in gender quality. We provide the first evidence demonstrating AI's potential to promote equality for society.

Keywords: Gender Equality, Artificial Intelligence, Education

JEL Classification: C81, C99, D90, I21, J16

Suggested Citation

Bao, Zhengyang and Huang, Difang, Can Artificial Intelligence Improve Gender Equality? Evidence from a Natural Experiment (August 27, 2022). Available at SSRN: https://ssrn.com/abstract=4202239 or http://dx.doi.org/10.2139/ssrn.4202239

Zhengyang Bao

Xiamen University ( email )

422 South Siming Road
Xiamen University
Xiamen, Fujian 361005
China

HOME PAGE: http://zhengyang-bao.github.io/

Difang Huang (Contact Author)

Monash University ( email )

900 Dandenong Road
Melbourne, Victoria 3145
Australia

HOME PAGE: http://difang-huang.github.io

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