Egorov G.G., Derkacheva T.V. Features of Using Neural Networks in Crowdfunding in the Russian Federation: A Legal Status
DOI: https://doi.org/10.15688/lc.jvolsu.2024.4.10
Gennady G. Egorov, Candidate of Sciences (Jurisprudence), Associate Professor, Researcher, Educational and Scientific Laboratory for the Study of Regional Systems, Associate Professor, Department of Jurisprudence, Volgograd State University (Volzhsky Branch), 40 let Pobedy St, 11, 404133 Volzhsky, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. , http://orcid.org/0000-0002-5969-1171
Tatyana V. Derkacheva, Candidate of Sciences (Jurisprudence), Associate Professor, Head of Legal Clinic – Laboratory of the Department of Jurisprudence, Volgograd State University (Volzhsky Branch), 40 let Pobedy St, 11, 404133 Volzhsky, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. , https://orcid.org/0000-0002-7125-9154
ntroduction: the development of civil society in order to achieve socially oriented goals is not possible without the active participation of representatives of society in it. The dynamics of the development of auxiliary systems for supporting these relationships, in modern conditions, increasingly begin to depend on machine analysis systems for both information and the priorities of participation of subjects in relationships that correspond to the interests of society’s development and are based on neural network programming. The above-mentioned has formed the purpose of the study: to conduct a scientific analysis of the use of machine analysis systems in determining the legal and machine-logical prerequisites for citizens’ participation in crowdfunding of an economic and civil nature. Methods: the methodological framework for the conducted research is the methods of scientific cognition, including such main ones as the methods of consistency, analysis and comparative law and the methods of machine analysis of social relations. Result: the authors have analyzed the legal status of crowdfunding in the Russian Federation, which refers to all forms of collective participation of citizens in the implementation of civil initiatives, both commercial and social, and provided the main positive and negative indicators of the use of neural networks in calculating indicators of participation in civil projects. Conclusions: the use of modern machine analysis systems is acceptable in practice, but it can generate a complex of legal, organizational, interpretative, impartial and ethical problems.
Key words: crowdfunding, neural networks, legal foundations of civil financing, problems of using machine logic.
Citation. Egorov G.G., Derkacheva T.V. Features of Using Neural Networks in Crowdfunding in the Russian Federation: A Legal Status. Legal Concept = Pravovaya paradigma, 2024, vol. 23, no. 4, pp. 75-84. (in Russian). DOI: https://doi.org/10.15688/lc.jvolsu.2024.4.10
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