Issues in the implementation of predictive law in law enforcement activities: a comparative legal study
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Abstract (English):
Abstract: The article presents a comparative analysis of current approaches to the application of artificial intelligence (AI) in the sphere of control and supervisory activities by law enforcement agencies of foreign countries and Russia. The object of the study is normative acts, recommendations and other documents regulating the application of artificial intelligence in law enforcement, judicial practice, academic publications and analytical reports on the researched problem. The research methodology integrates a set of modern philosophical, general scientific, special scientific methods of cognition, including dialectical, systemic, structural-functional, hermeneutic, comparativelegal, formal-legal (dogmatic) and others. The study focuses on the implementation of a comparative legal study of the areas of application of AI in law enforcement. The research focuses on the development of unified approaches to regulating the use of AI and countering AI used in unlawful activities. The results of the comparative analysis revealed basic problems in the field of ensuring the accuracy of analytical tools used in the investigation of crimes and suppression of offences; considered theoretical and practical situations of application of artificial intelligence in law enforcement; studied some examples of deepfake technology application in illegal activities and mechanisms of counteraction to this technology. The author suggested additional compensatory legal measures to ensure the effective integration of artificial intelligence and its use for the purposes of law enforcement agencies of Russia.

Keywords:
artificial intelligence, comparative legal research, predictive law, public law, law enforcement practice
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