Allusions of Dystopian Technocultures: AI in Sex and Care Work

AI assistants such as Siri and Alexa have historically been coded as female. Even ELIZA, the first chatbot and an early AI therapist, was coded as female. Interestingly, male- and female-sounding voice assistants respond differently to situations, according to gendered social expectations and stereotypes. This raises ethical concerns, as care work has historically been associated with women and has been the basis of oppression in the capitalism–patriarchy nexus. Simultaneously, the rise of artificial intelligence (AI) sex robots, chatbots and AI-generated pornographic content is leading to increased commodification of sex, higher rates of addiction and further reproduction of notions of non-consensual sexual activity. In this article, we aim to conduct an impact-oriented analysis of AI applications on cisgender women (as trans women face unique challenges due to AI, such as inaccurate facial recognition) through the process of othering and objectification. We demonstrate the negative impacts of AI technologies on women by studying their condition in the domains of sex and care work. We then place these trends in the larger context of ethics and political polarisation between the sexes, as seen by the recent gender ideology gap across nations. Lastly, we aim to predict the future of AI-regulated gender relations and the possibility of AI neutrality by undertaking a socio-technical approach to AI policy.

Authors

Institutions

Publication Details

Journal
Journal of Development Policy and Practice
Published
2025-08-25
DOI
https://doi.org/10.1177/24551333251366743
Citations
2
Primary Topic
Sexuality, Behavior, and Technology
Type
article
Field-Weighted Citation Impact
4.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Allusions of Dystopian Technocultures: AI in Sex and Care Work

Mahendranath Gupta, Ashwika Chhabria
2 citations
Journal of Development Policy and Practice
Sexuality, Behavior, and Technology
4.61
article

Allusions of Dystopian Technocultures: AI in Sex and Care Work

Mahendranath Gupta, Ashwika Chhabria
article en
2 citations

Abstract

AI assistants such as Siri and Alexa have historically been coded as female. Even ELIZA, the first chatbot and an early AI therapist, was coded as female. Interestingly, male- and female-sounding voice assistants respond differently to situations, according to gendered social expectations and stereotypes. This raises ethical concerns, as care work has historically been associated with women and has been the basis of oppression in the capitalism–patriarchy nexus. Simultaneously, the rise of artificial intelligence (AI) sex robots, chatbots and AI-generated pornographic content is leading to increased commodification of sex, higher rates of addiction and further reproduction of notions of non-consensual sexual activity. In this article, we aim to conduct an impact-oriented analysis of AI applications on cisgender women (as trans women face unique challenges due to AI, such as inaccurate facial recognition) through the process of othering and objectification. We demonstrate the negative impacts of AI technologies on women by studying their condition in the domains of sex and care work. We then place these trends in the larger context of ethics and political polarisation between the sexes, as seen by the recent gender ideology gap across nations. Lastly, we aim to predict the future of AI-regulated gender relations and the possibility of AI neutrality by undertaking a socio-technical approach to AI policy.

Journal of Development Policy and PracticeVol. 11(1)
University of Delhi (IN), Stockholm School of Economics (SE)
Openalex Percentile: Top 5%
Sexuality, Behavior, and Technology
4.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Allusions of Dystopian Technocultures: AI in Sex and Care Work — Mahendranath Gupta, Ashwika Chhabria · Journal of Development Policy and Practice (2025) | TGRS Research Map | TGRS