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Designing Against Hypersexualized Defaults: Trust, Credibility, and Ethical Implications in AI-Generated Avatars on Social Media
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Author(s): Javier Abuín-Penas (University of Vigo, Spain), Diana Ramahí-García (University of Vigo, Spain), Patricia Dopico-Rodríguez (University of Vigo, Spain)and Marcos Alonso-Mosquera (University of Vigo, Spain)
Copyright: 2026
Pages: 36
Source title:
Impacts of AI on Human Expression and Relationship Building
Source Author(s)/Editor(s): Jorge Esparteiro Garcia (Polytechnic University of Viana do Castelo, Portugal), Bruno Barbosa Sousa (Polytechinc Institute of Cávado and Ave, Portugal)and Manuel José Serra Fonseca (Polytechnic University of Viana do Castelo, Portugal)
DOI: 10.4018/979-8-3373-8337-8.ch008
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Abstract
This chapter addresses the proliferation of AI generated avatars on social media and the tendency of generative systems to reproduce hypersexualized femininity . Adopting a two layer defaults framework the authors analyze how synthetic defaults stemming from model priors and algorithmic defaults driven by platform visibility regimes jointly incentivize eroticized portrayals that undermine credibility . To proffer a practical alternative this chapter documents the design of Alicia which is a counter default avatar created through a two round Delphi study with seventeen experts . The study translates consensus into operational constraints such as functional styling and adult age coding and implements a consistency pipeline to resist identity drift . By mapping these decisions to relational outcomes the authors argue that resisting hypersexualization is a necessary condition for ethical relationship building in synthetic environments.
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