Artificial intelligence: legal and socioeconomic integration practices
- Authors: Kuryukin A.N.1
-
Affiliations:
- Federal Research Center of the Russian Academy of Sciences
- Issue: Vol 21, No 6 (2025)
- Pages: 200-215
- Section: Public Law (State and Legal Sciences)
- URL: https://journals.rcsi.science/2541-8025/article/view/381364
- DOI: https://doi.org/10.33693/2541-8025-2025-21-6-200-215
- EDN: https://elibrary.ru/NJHHTB
- ID: 381364
Cite item
Abstract
The purpose of this article is to identify and comprehensively characterize the economic and legal practices of integrating artificial intelligence into social reality, economic processes, and the legal framework, using the United States, the European Union, and Russia as examples. Methods: analysis, synthesis, comparison, retrospective research, economic, sociological, and legal. Results: A comprehensive study of existing economic and legal practices for integrating artificial intelligence into societies with divergent socioeconomic and legal characteristics was conducted. Legal models for legalizing artificial intelligence were identified for the countries in the focus of the study. Practices for implementing artificial intelligence technologies in the economy were analyzed, ranked by industry, and parameters of public reaction to these integration processes were determined. Conclusions: In the foreseeable future, artificial intelligence will increasingly penetrate all spheres of public life. Models of this impact are currently in the process of formation. The following factors will be decisive: The paths and directions of development of artificial intelligence itself as a socio-technological phenomenon; The characteristics and signs of the transforming economic and legal infrastructure of a particular society; The reaction of the general public to the ongoing changes. In the future, three main scenarios for economic and legal transformations under the influence of artificial intelligence integration can be predictively identified: Positive (interaction); Neutral (separation); Negative (collision).
About the authors
Andrey N. Kuryukin
Federal Research Center of the Russian Academy of Sciences
Author for correspondence.
Email: kuriukin@mail.ru
ORCID iD: 0000-0002-9572-3070
SPIN-code: 6316-7871
ResearcherId: I-4461-2018
Cand. Sci. (Polit.), Senior Researcher, The Center for Comprehensive Social Research Institute of Sociology
Russian Federation, MoscowReferences
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