FIGHTING AI-DRIVEN CYBERCRIME IN THE REPUBLIC OF SERBIA

The paper explores the complexities of attribution and accountability in AI-enabled cybercrimes, focusing on cases when AI technologies are used for illegal activities like hacking, identity theft, cyber fraud, cyber terrorism, prevention or limitation of access to public computer networks, cyberbullying, hate speech, or malware distribution. The primary research questions include: Which forms of cybercrime are dominant and, as far as possible, use artificial intelligence? How can the legal system attribute liability in cases of AI-driven cybercrime? What role do AI developers play in preventing the misuse of their technologies? And can AI systems themselves be considered autonomous actors, thus complicating accountability? To address these questions, the paper will present case studies of AI-driven cybercrime incidents and how they can be treated in Serbia's legal system. A comparative analysis will be employed to examine how different international frameworks approach liability for AI-related offenses and how they can be used to improve legal treatment of this type of cybercrime in the Republic of Serbia. The crucial aim to identify key patterns in liability attribution, with an emphasis on the responsibilities of different stakeholders, as well as to provide insights into the challenges of processing AI-driven cybercrime. The conclusions will offer practical recommendations for how legal systems should handle the increasing use of AI in cybercrime, contributing to the development of more robust cyber laws and AI ethics regulations. Keywords: cybercrime, artificial intelligence, AI-driven crime, regulation, liability