The gen AI gender gap

Iñaki Aldasoro, Olivier Armantier, Sebastian Doerr, Leonardo Gambacorta and Tommaso Oliviero ()

No 1197, BIS Working Papers from Bank for International Settlements

Abstract: Generative artificial intelligence (gen AI) is expected to increase productivity. But if unequally adopted across demographic groups, its proliferation risks exacerbating disparities in pay and job opportunities, leading to greater inequality. To investigate the use of gen AI and its drivers we draw on a representative survey of U.S. household heads from the Survey of Consumer Expectations. We find a significant "gen AI gender gap": while 50% of men already use gen AI, only 37% of women do. Demographic characteristics explain only a small share of this gap, while respondents' self-assessed knowledge about gen AI emerges as the most important factor, explaining three-quarters of the gap. Gender differences in privacy concerns and trust when using gen AI tools, as well as perceived economic risks and benefits, account for the remainder. We conclude by discussing implications for policy to foster equitable gen AI adoption.

Keywords: artificial intelligence; privacy; gender; gen AI (search for similar items in EconPapers)
JEL-codes: C8 D8 (search for similar items in EconPapers)
Date: 2024-07
New Economics Papers: this item is included in nep-ain and nep-gen
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Journal Article: The gen AI gender gap (2024)
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