(Department of Law, Universitas Negeri Semarang, Semarang, Jawa Tengah, 15417, Indonesia)
(2) Indah Sri Utari
(Department of Law, Universitas Negeri Semarang, Semarang, Jawa Tengah, 15417, Indonesia)*Corresponding author
AbstractThe rapid development of artificial intelligence (AI) based deepfake technology has created a new form of digital sexual violence: non-consensual synthetic pornographic content that algorithmically places victims in explicit material without their involvement. Indonesia's positive legal framework spanning the Electronic Information and Transactions Law, the Pornography Law, the Sexual Violence Crimes Law, and the new Criminal Code has yet to provide a comprehensive protection mechanism specifically addressing the rights of deepfake pornography victims. This normative legal study employs statutory, conceptual, and case approaches to analyze: (1) the characteristics of digital victimization experienced by deepfake pornography victims, and (2) a reformulation model of legal protection responsive to victims' recovery needs. Drawing on Satjipto Rahardjo's legal protection theory and Karuppannan Jaishankar's Cyber Victimology framework, this study reveals three fundamental gaps: the absence of AI-specific criminal provisions, the lack of restorative mechanisms (content take-down, right to be forgotten, psychological rehabilitation), and normative uncertainty from ongoing legislative transition. As its primary novelty, this study proposes a three-tiered protection model preventive, repressive, and restorative as a victim-centred normative architecture for the Indonesian legal system. Keywordsdeepfake pornography; digital victimology; legal protection; artificial intelligence; sexual violence
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DOIhttps://doi.org/10.33122/ejeset.v7i1.1453 |
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