Abstract
A stable idea in the doctrine of the typologies of a political regime indicates that their uniqueness is characterized by a set of appropriate methods and means of exercising political power, a system of social organization of interaction between power and society and other institutions of the state. The model of the political regime formed in the state is consistent, first of all, with political processes, including those occurring with the participation of citizens, social groups and society as a whole. The National Strategy for the Development of Artificial Intelligence in Russia, approved in 2019, among the principles for the development of these technologies, enshrined the priority of protecting the rights and freedoms of citizens, as well as security. Management decisions made by artificial intelligence have expanded the possible areas of their use, including public administration. This study examines the degree of introduction of artificial intelligence technology, which has been developing in recent years, into political regimes in various states. An assessment is made of the work of artificial intelligence, which is forming a new “cyber-physical” society, in which the political needs and freedoms of citizens are realized with the support of digital technologies. Approaches are proposed for assessing the work of artificial intelligence, which contributes to the international and regional integration of countries with different political systems, as well as influencing changes in the qualitative characteristics of political processes as a whole or its individual elements. The study was based on an integrated approach to assessing artificial intelligence used in the regulatory sphere. Dogmatic approaches to factors influencing the formation of a political system in the context of technological progress are being rethought.
Publisher
Peoples' Friendship University of Russia
Reference22 articles.
1. Bradford, A. (2020). The Brussels effect: How the European Union rules the world. New York; Oxford Academic. https://doi.org/10.1093/oso/9780190088583.001.0001
2. Codagnone, C., & Weigl, L. (2023). Leading the charge on digital regulation: The more, the better, or policy bubble? Digital Society, 2, 4. https://doi.org/10.1007/s44206-023-00033-7
3. Chucha, S.Yu. (2023). Artificial intelligence in justice: legal and psychological aspects of law enforcement. Pravoprimenenie = Law Enforcement Review, 7(2), 116–124. (In Russian). http://doi.org/10.52468/2542-1514. 2023.7(2).116-124.
4. De Nigris, S., & Gomez-Gonzales, E., et al. (2020). Artificial intelligence and digital transformation: Early lessons from the COVID-19 crisis, EUR 30306 EN, Publications Office of the European Union, Luxembourg. http://doi.org/10.2760/166278
5. Dynkin, A.A. (Ed.). (2014). Global restructuring. Moscow: Ves’ mir. (In Russian).