自然(考古学)
自然实验
心理学
人工智能
计算机科学
生物
数学
统计
古生物学
作者
Zhengyang Bao,Difang Huang
出处
期刊:Social Science Research Network
[Social Science Electronic Publishing]
日期:2022-01-01
被引量:16
摘要
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.
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