Introduction of artificial intelligence and neural network technologies into forensic science

The use of artificial intelligence capabilities in forensic science is of scientific interest, due to the rapid digitalization of society and the need to quickly identify the attacker. The intensive development of these technologies contributes to the emergence of new types of social relations, directly affects the speed of making management decisions, as well as the emergence of previously unstudied types of crime. The problem under consideration allows not only to enrich the theoretical basis, but also to significantly increase the speed of identifying intruders, as well as to optimize the work of law enforcement officers. The paper examines the theoretical foundations, significance and possibilities of implementing artificial intelligence systems in forensic science. Potential areas for using this technology in solving and investigating crimes of various types are outlined. During the study, dialectical, systemic and logical methods (general scientific) were used. Among private scientific research methods, formal legal methods, methods of generalization and abstraction prevailed. The issues of introducing the capabilities of artificial intelligence systems into the branch of forensic science - forensic technology - are analyzed. Promising directions for use in the investigation of crimes in the context of combating crime are proposed, incl. in the digital environment. Potential negative factors of using these technologies in the work of law enforcement agencies have been identified.