Criminal liability for criminal use of deepfake technology that causes serious consequences
Palabras clave:
Deepfake Crime Severity, Systemic Digital Harm, Synthetic Media Forensics, Algorithmic Legal Qualification, Criminal Justice Adaptation, Evidentiary Destabilization, Cybercrime EscalationResumen
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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Derechos de autor 2026 Viktoriia Shcherba, Mykhailo Akimov, Inna Vartyletska, Olha Kryshevych, Mariia Diakur
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