Artificial intelligence as a means of ensuring security in the crime prevention system

The application of artificial intelligence in law enforcement plays an important role today in addressing the challenges faced by officers, namely in the fight against crime and the prevention of offenses. This study focuses on the promising areas of AI usage, including data analysis, facial recognition, crime prediction, audio material examination, and the detection of economic crimes online. The aim of the research is to highlight the problems and risks associated with the use of AI in the law enforcement sphere, such as ethical issues, violation of citizens' privacy, abuse of AI capabilities by officers, among others, and to explore potential solutions, as well as to examine the prospects for the development and application of AI in combating crime, solving crimes, and locating individuals, its regulation, and legal support in law enforcement under existing legislation. The methodological framework of this work consists of a group of general scientific and special methods, including dialectical, normative-legal, statistical, sociological, predictive, as well as induction and deduction. The novelty of the conducted research lies in: firstly, substantiating the need to transition from framework strategies and "regulatory sandboxes" to a stable special law on AI in the law enforcement sphere, proposing key elements of such legislation; secondly, proposing a mechanism for independent ethical and legal oversight and a procedure for public transparency without disclosing algorithmic details; and thirdly, formulating criteria for the admissibility and proportionality of using AI in law enforcement activities. Thus, this study proposes a comprehensive analysis of the use of AI in law enforcement, particularly in combating crime, its detection, and prevention. This tool, in the hands of knowledgeable and highly qualified personnel, will help efficiently, quickly, and resourcefully resolve the tasks faced by authorities.

artificial intelligence, law enforcement agencies, crime, fraud, face recognition, economic crimes, information technology, Internet, neural network, criminal law