PRAVNI, VIKTIMOLOŠKI I MEDIJSKI IZAZOVI U VEZI AI-SINTETIZOVANIH PRIKAZA ZLOSTAVLJANJA DJECE KAO NOVI OBLIK RIZIKA
LEGAL, VICTIMOLOGICAL, AND MEDIA CHALLENGES OF AI-SYNTHESIZED CHILD ABUSE DEPICTIONS AS A NEW FORM OF DIGITAL RISK

Summary/Abstract: The development of artificial intelligence is transforming not only the digital industry and communication patterns, but also the nature of contemporary criminality. Among the most alarming phenomena is synthetic child sexual abuse material (synthetic CSAM), which includes computer generated images and deep fake videos that realistically simulate the sexual exploitation of minors. Although such content does not always involve an identifiable real victim, its visual realism, social impact, and potential to normalize sexual violence against children produce serious legal and victimological consequences. This paper examines synthetic CSAM as a new form of digital risk, with particular attention to its criminal-law relevance, diffuse forms of victimization, and the challenges of media reporting. Special attention is devoted to children and young people, both as potential victims of secondary victimization and as subjects of criminal-law risk. The paper emphasizes the need for an interdisciplinary and normatively precise response by society and public institutions.

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