The use of artificial intelligence in political processes: experience of the Russian Federation

Abstract

Introduction. Artificial intelligence is penetrating deeper into politics around the world. Algorithms and neural networks today are capable of creating texts, images and videos, analyzing big data and even imitating human communication. Every year there is an increasing penetration of the "inhuman mind" into the processes of political communication. Such a large-scale penetration into the sensual sphere of politics inevitably causes interest on the part of the state and society, as well as attempts to streamline these processes. Purpose. Based on the analysis of the specifics of the use of artificial intelligence (AI) in the political administration of the Russian Federation, to identify legal and ethical problems and develop proposals to improve the effectiveness of political communication in the context of digitalization. Methods. The methodological basis of the study was an interdisciplinary approach based on the aggregation of political, legal and managerial concepts that analyze the problems and possibilities of using AI in the political sphere. A qualitative analysis of documents and expert data of an interdisciplinary nature was used. An institutional and communicative approach was used. Results. The article is devoted to the analysis of the use of artificial intelligence in the political processes of the Russian Federation. The article examines both the positive aspects of the use of AI in political governance, as well as the potential risks associated with manipulation of public opinion, transparency of algorithms and the use of personal data. Special attention is paid to the legal regulation of AI in the Russian Federation, existing legislative gaps and ethical dilemmas. The article analyzes the experience of using AI by government agencies and political parties, including the automation of public services, the analysis of public opinion and the use of neural networks in election campaigns. In conclusion, recommendations are given on the development of legal regulation and maintaining a balance between technological progress and democratic values. Conclusions. The article proves that artificial intelligence is becoming part of the external landscape in the Russian Federation, although the process of its development is at an initial stage. However, its continued impact on policy will depend on exactly how it is used and regulated. Russian specificity (a combination of aspirations for technological sovereignty, a strong role for the state and the simultaneous interest of business players) creates a special context in which AI decisions can have long-term consequences for governance models and the degree of openness of the political system.