The use of artificial intelligence in crime prevention through forensic means

The subject of the research is the methods and techniques for applying artificial intelligence (AI) as a forensic tool in crime prevention. The object of the research is the activities of law enforcement agencies and departments aimed at preventing criminal activities. The objective of the article is to analyze the possibilities of applying AI as a forensic tool for crime prevention, as well as to develop recommendations for optimizing and integrating AI-based systems into Russian law enforcement practice. The article examines various approaches to defining artificial intelligence, its key features, and characteristics. It analyzes the potential for implementing methods and techniques based on AI technologies for crime prevention. Special emphasis is placed on technologies such as predictive analytics, natural language processing, facial and image recognition systems, decision support systems, and digital evidence analysis. The research is accompanied by practical examples illustrating the capabilities of AI technologies in the process of crime prevention. The article considers both foreign and Russian experiences in using AI technologies for crime prevention. General scientific and specialized scientific methods of cognition were used in the research. The comparative law method was applied to study the experiences of foreign countries. The formal-legal method was utilized to examine the main approaches to defining the concept of AI and its characteristics. The method of state and legal modeling was used to mentally create models for the use of AI technologies. The relevance of the research is justified by the fact that modern AI technologies, including machine learning, big data analysis, natural language processing, and computer vision, provide new opportunities for analyzing criminal patterns, predicting potential threats, and improving the efficiency of law enforcement agencies. All these technologies are currently being actively implemented and have significant potential for enhancing the activities of law enforcement in crime prevention, as well as for the development of forensic science as a whole. As a result of the research, approaches to understanding AI were examined, the methods and key AI-based technologies used or potentially usable for crime prevention purposes were studied, and the ways of application and prospects of using AI-based technologies in the practical activities of law enforcement agencies were described.

forensics, artificial intelligence, neural networks, natural language processing, crime prevention, criminal investigation, digital footprints, computer vision, machine learning, predictive analytics