Risk-Oriented Approach and Financial and Legal Stimulation Measures in the Development of Artificial Intelligence Technology in Russia

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Resumo

The article examines the development of artificial intelligence technologies that are important for achieving the strategic goals of the Russian Federation in the context of social and economic challenges of our time. The study emphasizes that the dynamic development of public relations in the context of a digital economy based on high-tech production requires the active implementation of artificial intelligence in various spheres of life. The author examines the types and features of financial support measures, including support for innovative activities in the field of artificial intelligence. The article reviews the problem of a risk-oriented approach used in regulating relations related to robotics and artificial intelligence. Attention is drawn to the fact that the risk-oriented approach is highlighted as one of the principles of the Concept for the Development of Regulation of Relations in the Sphere of Artificial Intelligence and Robotics Technologies until 2024. The author also examines the issues of financial and legal restrictions and financial and legal incentives as measures of influence on relations related to the development of technologies in Russia. The article emphasizes the importance of financial incentives for the development of the artificial intelligence industry in Russia, notes the significant role of financial restrictions in the field of artificial intelligence development and its implementation in various spheres of life. The author summarizes that financial and legal restrictions can have a special impact on the development of innovation processes. It is emphasized that experimental legal regimes are a special type of restriction expressed in the granting of exclusive rights to participants in the regime.

Sobre autores

Anna Savina

Tambov State University named after G.R. Derzhavin

Autor responsável pela correspondência
Email: Anna.savina56@mail.ru
ORCID ID: 0000-0002-2107-8769
Código SPIN: 2707-8759
Researcher ID: ADI-2518-2022

Cand. Sci. (Law), Associate Professor, Associate Professor of the Department of Civil Law of the Institute of Law and National Security

Rússia, Tambov

Bibliografia

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