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What ChatGPT Tells Us about Gender

A Cautionary Tale about Performativity and Gender Biases in AI

Bibliographic Data

ID5936053
AuthorsNicole Gros (0000-0001-6047-7714, National College of Ireland, corresponding author)
Year2023
Volume12
Issue8
Pages435
Publication date2023-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Sciences (JOURNAL)
Journal identifiersISSN: 2076-0760 • E-ISSN: 2076-0760
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/socsci12080435
OpenAlexW4385497937
LanguageEN
Citations received40
References cited28

Large language models and generative AI, such as ChatGPT, have gained influence over people's personal lives and work since their launch, and are expected to scale even further. While the promises of generative artificial intelligence are compelling, this technology harbors significant biases, including those related to gender. Gender biases create patterns of behavior and stereotypes that put women, men and gender-diverse people at a disadvantage. Gender inequalities and injustices affect society as a whole. As a social practice, gendering is achieved through the repeated citation of rituals, expectations and norms. Shared understandings are often captured in scripts, including those emerging in and from generative AI, which means that gendered views and gender biases get grafted back into social, political and economic life. This paper's central argument is that large language models work performatively, which means that they perpetuate and perhaps even amplify old and non-inclusive understandings of gender. Examples from ChatGPT are used here to illustrate some gender biases in AI. However, this paper also puts forward that AI can work to mitigate biases and act to 'undo gender

Affect (linguistics · Argument (complex analysis · Disadvantage · Generative grammar · Masculinity · Performativity · Sociology · Undo · Computer Science · Ethics and Social Impacts of AI · Gender Studies · Psychology · Social Psychology · Artificial Intelligence

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Unique citing works40
Citations per year13,33
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 40
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