Algorithmic Gaze on Women:Gendered Ethics and Governance Framework for Deepfakes
The intersection of deep synthesis and traditional gendered bias has created a novel risk for women to digital violence and thus requires digital disciplinary mechanisms.Deepfakes,characterized by high fidelity,accessibility,and widespread dissemination,have in-tensified gender inequality by undermining women's autonomy,dignity,and the fundamental trust required for social engagement.The challenges posed by deepfake technology to gender ethics represent systemic rather than isolated issues,resulting from a combination of technological misuse,inadequate ethical frameworks,and regulatory gaps.While nations have implemented various technical,ethical,and legal measures to address these concerns,significant challenges in governance effectiveness persist.To address these systemic challen-ges,this study proposes a multi-dimensional governance framework,encompassing technological safeguards,ethical consensus-building,and legal protections that combine individual empowerment with systematic regulation.This framework integrates civil remedies and crim-inal sanctions while emphasizing the interplay between technological security,ethical foundations,and legal shields.
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