Automating Sexual Injustice: Epistemic Injustice in Fembot Design and Feminist Directions for Equitable HRI

Fuente: arXiv
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Main Author: Bhardwaj, Surabhi
Format: Preprint
Published: 2026
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author Bhardwaj, Surabhi
author_facet Bhardwaj, Surabhi
contents Current AI-enabled female sex robots, or "fembots," are primarily designed to simulate female sexual responses through a lens of male-centric bias and pornographic stereotypes. This paper analyses fembot development as a failure in equitable robotics, arguing that these machines perpetuate "epistemic injustice" by prioritizing male hedonistic fantasies over empirical truths of female sexual experience in their design decisions. Drawing on Miranda Fricker's framework of testimonial and hermeneutical injustice, this analysis demonstrates how fembot interfaces discredit women's lived sexual knowledge and empirical research on female sexual physiology while privileging male-centred fantasies. This paper proposes three Feminist Design Directions including empirical grounding, epistemic plurality, and active consent modelling, which are grounded in Donna Haraway's concept of "Situated Knowledge" and accompanied by concrete evaluation criteria. These directions aim to facilitate a transition toward evidence-based intimate AI that prioritizes epistemic justice, mutuality, and inclusive design for marginalized users including disabled, neurodivergent, and LGBTQ+ communities.
format Preprint
id arxiv_https___arxiv_org_abs_2604_16374
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Automating Sexual Injustice: Epistemic Injustice in Fembot Design and Feminist Directions for Equitable HRI
Bhardwaj, Surabhi
Computers and Society
H.5.2; K.4.1
Current AI-enabled female sex robots, or "fembots," are primarily designed to simulate female sexual responses through a lens of male-centric bias and pornographic stereotypes. This paper analyses fembot development as a failure in equitable robotics, arguing that these machines perpetuate "epistemic injustice" by prioritizing male hedonistic fantasies over empirical truths of female sexual experience in their design decisions. Drawing on Miranda Fricker's framework of testimonial and hermeneutical injustice, this analysis demonstrates how fembot interfaces discredit women's lived sexual knowledge and empirical research on female sexual physiology while privileging male-centred fantasies. This paper proposes three Feminist Design Directions including empirical grounding, epistemic plurality, and active consent modelling, which are grounded in Donna Haraway's concept of "Situated Knowledge" and accompanied by concrete evaluation criteria. These directions aim to facilitate a transition toward evidence-based intimate AI that prioritizes epistemic justice, mutuality, and inclusive design for marginalized users including disabled, neurodivergent, and LGBTQ+ communities.
title Automating Sexual Injustice: Epistemic Injustice in Fembot Design and Feminist Directions for Equitable HRI
topic Computers and Society
H.5.2; K.4.1
url https://arxiv.org/abs/2604.16374