Egorov G.G., Sevostyanov M.V., Shubenkova K.V. The Regulatory and Legal Interpretation of Systems Based on "Artificial Intelligence" and Neutral Networks (International Aspects)
DOI: https://doi.org/10.15688/lc.jvolsu.2025.1.9
Gennady G. Egorov, Candidate of Sciences (Jurisprudence), Associate Professor, Department of Jurisprudence and Psychology, Researcher, Volgograd State University (Volzhskiy Branch), 40 let Pobedy St, 11, 404133 Volzhskiy, Russian Federation,
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, https://orcid.org/0000-0002-5969-1171
Maxim V. Sevostyanov, Candidate of Sciences (Jurisprudence), Associate Professor, Department of Jurisprudence and Psychology, Volgograd State University (Volzhskiy Branch), 40 let Pobedy St, 11, 404133 Volzhskiy, Russian Federation,
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, https://orcid.org/0000-0002-7248-9349
Kseniya V. Shubenkova, Candidate of Sciences (Jurisprudence), Associate Professor, Department of Jurisprudence and Psychology, Volgograd State University (Volzhskiy Branch), 40 let Pobedy St, 11, 404133 Volzhskiy, Russian Federation,
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, https://orcid.org/0000-0003-2985-298X
Introduction: the article examines the current topic of international legal regulation, with a special emphasis on the rapidly developing areas of artificial intelligence and neural networks. The analysis of numerous documents prepared by authoritative international organizations, such as the United Nations, the Organization for Economic Cooperation and Development, as well as the Group of Seven (G7) and the Group of Twenty (G20), provides a comprehensive picture of the current state of the legal landscape in this area. In addition, the work provides an overview of the scientific points of view of leading experts in the field of law, which allows us to evaluate various theoretical approaches to the problem of legal regulation of artificial intelligence (AI). As a result of the study, the key principles that states are guided by when forming their national legal framework in the field of artificial intelligence were identified. The main problems with that said are the lack of unified approaches to AI regulation, which entail legal uncertainty and potential conflicts of jurisdiction. The purpose of the work is to analyze the current state of the regulatory landscape, identify the key principles of national legislation and assess the prospects for international cooperation. Methods: the methodological frame work for the research includes: the comparative legal analysis of international acts; the systemic study of the interaction of legal regimes; the normative and dogmatic interpretation of terminology; the content analysis of expert positions; the legal modeling of prospects for harmonization of legislation. The application of interdisciplinary synthesis combining legal, technical and ethical aspects ensures the complexity of the research results. The main conclusions emphasize the need to harmonize AI regulation at the global level, including clarifying the key concepts and terms to ensure uniform application of legal norms. The analysis contributes to scientific discourse and may be useful to public policy makers seeking to create a balanced legal environment for the development of AI technologies.
Key words: digital artificial intelligence, neural networks, Russian legislation in the field of digital relations, digital law, international digitalization.
Citation. Egorov G.G., Sevostyanov M.V., Shubenkova K.V. The Regulatory and Legal Interpretation of Systems Based on “Artificial Intelligence” and Neural Networks (International Aspects). Legal Concept = Pravovaya paradigma, 2025, vol. 24, no. 1, pp. 61-71. (in Russian). DOI: https://doi.org/10.15688/lc.jvolsu.2025.1.9
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