Criminal liability for criminal use of deepfake technology that causes serious consequences

• Viktoriia Shcherba ^[1] ; Mykhailo Akimov ^[3] ; Inna Vartyletska ^[1] ; Olha Kryshevych ^[1] ; Mariia Diakur ^[2]
  1. [1] National Academy of Internal Affairs

     National Academy of Internal Affairs

     Ucrania

     
  2. [2] Chernivtsi National University

     Chernivtsi National University

     Ucrania

     
  3. [3] National Academy Internal Affairs

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• Localización: Cadernos de dereito actual, ISSN-e 2386-5229, ISSN 2340-860X, Nº. 32, 2026, págs. 177-200
• Idioma: inglés
• Enlaces
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• Resumen

  • Generative AI has accelerated deepfake crime beyond the limits of traditional victim-centered criminal qualification. This study develops a dual-scale framework that links personal and systemic harm to criminal-judicial decision-making. Using classification, topology building, cross-impact analysis, judicial content analysis, regression, scenario modeling, and UML formalization, the study shows that automation, diffusion, and institutional targeting drive the most severe outcomes.

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