Issues in the implementation of predictive law in law enforcement activities: a comparative legal study

Author:

Atabekov Atabek1ORCID

Affiliation:

1. Peoples’ Friendship University of Russia

Abstract

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.

Publisher

Saint-Petersburg University of the Ministry of Internal Affairs of the Russian Federation

Subject

Urology,Nephrology

Reference35 articles.

1. William P., Badholia A. Analysis of personality traits from text-based answers using HEXACO model // 2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). – IEEE, 2021. – С. 1–10., William P., Badholia A. Analysis of personality traits from text-based answers using HEXACO model // 2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). – IEEE, 2021. – S. 1–10.

2. William P., Badholia A. Evaluating Efficacy of Classification Algorithms on Personality Prediction Dataset // Elementary Education Online. – 2020. – Т. 19. – № 4. – С. 3400–3413., William P., Badholia A. Evaluating Efficacy of Classification Algorithms on Personality Prediction Dataset // Elementary Education Online. – 2020. – T. 19. – № 4. – S. 3400–3413.

3. Bibave R. et al. A Comparative Analysis of Single Phase to Three Phase Power Converter for Input Current THD Reduction //2022 International Conference on Electronics and Renewable Systems (ICEARS). – IEEE, 2022. – С. 325–330., Bibave R. et al. A Comparative Analysis of Single Phase to Three Phase Power Converter for Input Current THD Reduction //2022 International Conference on Electronics and Renewable Systems (ICEARS). – IEEE, 2022. – S. 325–330.

4. Агамиров К. В. Проблемы юридического прогнозирования: методология, теория, практика : монография / под науч. ред. Р. В. Шагиевой. – Москва: Юркомпани, 2015. – 406 с. – (Серия «Актуальные юридические исследования»)., Agamirov K. V. Problemy yuridicheskogo prognozirovaniya: metodologiya, teoriya, praktika : monografiya / pod nauch. red. R. V. Shagiyevoy. – Moskva: Yurkompani, 2015. – 406 s. – (Seriya «Aktual’nyye yuridicheskiye issledovaniya»).

5. Go A. et al. Twitter sentiment analysis // Entropy. – 2009. – Т. 17. – 252 с., Go A. et al. Twitter sentiment analysis // Entropy. – 2009. – T. 17. – 252 s.

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