Теоретико-правовая оценка рисков преобразования публичной сферы в эпоху сильного искусственного интеллекта
Theoretical and legal assessment of risks associated with public sphere transformation in the era of strong artificial intelligence
Author(s): Aleksandr S. KiselevSubject(s): Law, Constitution, Jurisprudence, Public Administration, ICT Information and Communications Technologies, Sociology of Law
Published by: Казанский (Приволжский) федеральный университет
Keywords: artificial intelligence; risks; strong artificial intelligence; legal regulation; artificial intelligence and law; artificial intelligence and state; information state; information society; network state;
Summary/Abstract: This article provides a theoretical and legal examination of the risks arising from the transformation of the public sphere under the hypothetical influence of the development of strong artificial intelligence (AI), focusing on specific legal challenges and threats from the introduction of autonomous AI systems into the processes of public administration, law enforcement, and public policy navigation. The study was performed using standard research methods (metaphysical and dialectical methods, analysis, synthesis, systematic investigation, method of abstraction, induction, and deduction) and discipline-specific methods (comparative and formal legal analysis). Some predictions were made about the influence of strong AI on the course of public administration and about the potential technological consequences of using strong AI capabilities at different levels of government and in various areas of human life. Special attention was paid to the issues of responsibility for AI actions and ongoing transformations in the traditional understanding of democratic institutions. The theoretical and legal problems generated by the autonomy and unpredictability of strong AI, which may occur in the field of public administration, were discussed. In general, the findings offer a more profound perspective on new phenomena that arise as a result of human–AI interaction, thus expanding the subject of legal regulation.
Journal: Ученые записки Казанского университета. Серия Гуманитарные науки
- Issue Year: 168/2026
- Issue No: 2
- Page Range: 209-226
- Page Count: 18
- Language: Russian
