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Introduction. The coronavirus has become a serious test for national and regional power and management systems. Many systems have demonstrated their effectiveness and flexibility, competence and coherence. But there were also cases when erroneous decisions were made at the regional and even national levels. The purpose of this article is to determine the main trends in changes in the social behavior of the city government and citizens of St Petersburg in the context of the coronavirus pandemic.Methodology and sources. The article is based on classical and modern theories of urban sociology, sociology of the formation and functioning of public spaces and public life in a modern city, data from urban statistics on COVID incidence and empirical observations.Results and discussion. From the very beginning, the city government of Saint Petersburg became the center of coordination and mobilization of all city resources to overcome the pandemic. However, it is not always possible to manage the available resources correctly and effectively. One of the reasons for the inefficient use of available resources was that the government did not define a strategy to combat the coronavirus pandemic from the very beginning. Decisions were made situationally, sometimes inconsistently. It is worth noting that, despite the restrictions imposed, the social behavior patterns of a significant part of citizens have not changed significantly, but have only been transformed into hybrid social practices.Conclusion. The study described the existing normative and hybrid models of social behavior of the government and citizens in the public space of the city in the context of the coronavirus pandemic, identified the most affected types of social relations (local-local) and local spaces (trade, entertainment, etc.) in which new social norms are most often violated.

Introduction. There are currently many different methods in the field of artificial intelligence research. Methods of mathematical, cognitive and philosophical sciences are dominant among them. All research approaches are united by the hypothesis that natural and artificial intelligence are fundamentally comparable. The sociality formed as a result of these changes attracts increasing attention from both foreign and Russian researchers. The purpose of this article is to clarify the theoretical and methodological approaches in the study of artificial intelligence in the social sciences, especially in sociology.Methodology and sources. The article is based on an interdisciplinary approach, which allows outlining the scale of the research problem, coordinating the methodological approach to the organization of research, smoothing the contradictions of ideas and categories, which are operated by different sciences in the study of artificial intelligence.Results and discussion. According to the authors, the widely used concept of Artificial Intelligence is more a scientific metaphor than a proven empirical fact. Currently there is no such thing as artificial intelligence. There are neural networks, machine learning, which can solve certain problems in the real world. Artificial intelligence is a metaphor that captures a certain level of human knowledge about the introduction of information technology, based on computer hardware and specialized software. To treat artificial intelligence as an empirical fact is a fallacy that is not appropriate in science.Conclusion. Sociology is only taking its first steps in the field of artificial intelligence research. It does not have its own methodological tools for analyzing artificial intelligence and the social reality that arises from its introduction into the everyday life of society. Artificial Intelligence changes people's daily lives, embedding itself in everyday social practices, and forming a hybrid social world for the social sciences to study. Today there is a debate about the place of artificial intelligence in sociology. According to the authors, sociological fantasies and speculations are not appropriate here. In order to correctly and accurately define the problem of artificial intelligence in the social sciences, it is necessary to carefully analyze the opinions of the experts in the exact sciences, in which artificial intelligence is understood as algorithms or models created by human, and which perform certain tasks and help them manage specific processes in various spheres of society.