Artificial Intelligence Technologies as a Source of Special Knowledge

A pressing task in modern forensic science is the theoretical, legal, and practical understanding of artificial intelligence as a potential source of specialized knowledge used in the fight against crime. The digital transformation of law enforcement necessitates rethinking the traditional anthropocentric approach to the category of "special knowledge" in light of the opportunities offered by artificial intelligence. Objective: to substantiate the feasibility and feasibility of recognizing artificial intelligence technologies as a form of implementing specialized knowledge in criminal proceedings. Methods: empirical methods of description and interpretation; theoretical methods of formal and dialectical logic; Specific scientific methods include legal-dogmatic analysis, comparative legal methods, and the method of interpreting legal norms. Results: the study demonstrated that artificial intelligence, although lacking legal personality, can act as a tool for implementing specialized knowledge, provided its application is methodologically sound, its conclusions are expertly verified, and procedural safeguards are observed. Key areas of artificial intelligence use in forensics (machine learning, computer vision, expert systems, natural language processing, large-scale language models) are identified, as well as the risks associated with the lack of regulatory frameworks, the "black box" nature of algorithms, and ethical challenges. The need for comprehensive legal and methodological regulation of AI use to ensure the admissibility and reliability of its conclusions in criminal procedural evidence is substantiated.