ARTIFICIAL INTELLIGENCE AND CYBERCRIME: NEW CHALLENGES AND PROSPECTS FOR LEGAL REGULATION
Volodymyr Zvieriev, Valery Bushkov, Borys Khrushkov, Volodymyr Sarychev, Oleksiy Ostaltsev, Yehor Prokopovych-Tkachenko · 2025
The rapid development of artificial intelligence (AI) is fundamentally changing the methods and scale of cybercrime, and also poses significant challenges for legal regulation. This article highlights the fundamental aspects of the use of AI to commit cyberattacks (automated hacking tools, deep fakes, intellectual fraud, etc.) and considers ways to counter them by law enforcement agencies. The legal aspects related to the extended autonomy of AI systems are examined, leading to new liability issues, problems of assessing deep fakes evidence and the need for international cooperation in cybersecurity field. The rapid development of artificial intelligence (AI) is fundamentally changing the methods and scale of cybercrime, and also poses significant challenges for legal regulation. This article highlights the fundamental aspects of using AI to commit cyberattacks (automated hacking tools, deepfakes, intellectual fraud, etc.) and explores ways in which law enforcement agencies can counter them. It reveals legal aspects related to the extended autonomy of AI systems, which leads to new issues of liability, problems of assessing evidence of deepfakes, and the need for international cooperation in the field of cybersecurity. The aim of the study is to develop a holistic view of the threats posed by AI tools in the context of cybercrime and to formulate recommendations for improving national and transnational legislation. The article proposes specific mechanisms for ensuring the reliability of digital evidence (from the creation of algorithms for detecting manipulations to methods for analyzing the chain of their storage), highlights the current practice of criminal prosecution in Ukraine and abroad, and also provides proposals for the unification of procedures for forensic analysis of materials obtained or modified with the help of AI. The results of the work show that effective legal counteraction to AI-based cybercrime requires the simultaneous development of technical tools, enhanced protection of human rights, and international harmonization of legal norms. The development of specialized investigation methods, including big data analytics and machine learning technologies, must be balanced with increasing security and transparency standards. Particular attention is paid to the issue of further modernization of training programs for legal professionals and the involvement of experts in the field of cybersecurity, which will allow for a faster response to the dynamics of new threats.