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Ideal technologies, ideal women: AI and gender imaginaries in Redditors’ discussions on the Replika bot girlfriend

Depounti, Iliana, Saukko, Paula, Natale, Simone·2023·Media, Culture & Society

Abstract

There is extensive literature on how expectations and imaginaries about artificial intelligence (AI) guide media and policy discussions. However, it has not been considered how such imaginaries are activated when users interact with AI technologies. We present findings of a study on how users on a subreddit discussed ‘training’ their Replika bot girlfriend. The discussions featured two discursive themes that focused on the AI imaginary of ideal technology and the gendered imaginary of the ideal bot girlfriend. Users expected their AI Replikas to both be customizable to serve their needs and to have a human-like or sassy mind of their own and not spit out machine-like answers. Users thus projected dominant notions of male control over technology and women, mixed with AI and postfeminist fantasies of ostensible independence onto the interactional agents and activated similar scripts embedded in the devices. The vicious feedback loop consolidated dominant scripts on gender and technology whilst appearing novel and created by users. While most research on the use of AI is conducted in applied computer science to improve user experience, this article outlines a media and cultural studies lens for a critical understanding of these emerging technologies as they become embedded in communication and meaning-making.

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  • Users are encouraged to and train their AIs to show desirable traits such as assertiveness, humour, empathy, agreeableness and others.

    “Previous studies about Replika (Maples et al., 2024, Skjuve et al., 2022;Xie & Pentina, 2022;Ta et al., 2020) have found that its users perceive the app as a mental well-being enhancer; it has also been found that users are encouraged to and train their AIs to show desirable traits such as assertiveness, humour, empathy, agreeableness and others (Depounti et al., 2022).”

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Metadata

Authors
Depounti, I., Saukko, P., & Natale, S.
Affiliations
  • Loughborough University, UK
  • University of Turin, Italy
Venue
Media, Culture & Society
Published
2022-08-19
Volume
45
Issue
4
Pages
720-736
ISSN
  • 0163-4437
  • 1460-3675
Cited by
128
References
13
Language
en

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