Paper ID:250655F4
Authos: Chenhao L
Title: Simulated Humanity: How Generative AI in Sex Robots Reinforces Objectification
Publisher: Algorithm_Lab.
Conference: ICAITD 2025: The Second International Conference of AI new Technology and open Discussion
Location: Pleasanter Lounge Nakano, Tokyo Japan
Date: 1-4 june 2025
Editor: Kazuo Ohzeki (Algorithm_Lab. Professor Emeritus of Shibaura Institute of Technology, Professor of Emeritus of International Professional University of Technology in Tokyo)
Citation: Proceedings: ICAITD 2025
https://doi.org/10.63211/j.p.25.645304
pages: 27-36
Abstract:
This paper investigates how Generative AI technology, particularly in the development of Sex Robots, intensifies the phenomenon of Sexual Objectification within the framework of Nussbaum s’ seven features of Objectification. Traditional sex toys and dolls contributed to Objectification mainly on symbolic and cultural levels, but Generative AI drastically expands this by enabling personalized emotional simulation, adaptive responsiveness, and constant customization. This technological shift blurs the boundary between object and person, reinforcing the expectation that real partners should conform to the same controllable, replaceable, and submissive roles that AI companions perform. The paper also highlights the phenomena of reversed objectification, where highly humanlike AI, despite lacking real Autonomy or Subjectivity, is treated as if it were a person — further eroding respect for real individuals. Ultimately, rather than reducing sexual violence, this normalization of Objectification risks embedding harmful attitudes deeper into culture, challenging the ethical foundations of gender equality and human dignity in an era increasingly shaped by AI technologies.
Keywords: Generative AI, Sexual Objectification, Sex Robots, Technological Ethics, Human Imitation
Category: Full paper
Review process: Two reviewers
Publication date: July 2nd 2025
First received date: Mar. 4th 2025
Copyright :Author(Full), AlgorithmLab.(First-in-the-world publishing rights granted by the author as the Prceedings of ICAITD 2025)
Licence:Viewer can download and view this review paper, but cannot secondary distribute (redistribute) it. (It is not Creative Commons License, nor MIT Licence) In other words, "Do not distribute" is the License
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