The article is dedicated to reflections on an issue that, in the author’s opinion, may become defining for political science in the coming decades. This is the understanding of the political dimensions of social existence transformed by digitalization and artificial intelligence (AI). The result of digital transformation and the application of AI algorithms has been a radical change in the nature of social reality, including its political facets: natural sociality, which seemed an inherent property of humans as a bio-social species, gives way to a fundamentally new phenomenon – artificial sociality, in which individuals interact not only with each other but also with artificially created structures. In this new reality, fundamentally new models, principles, and mechanisms of socio-political interaction emerge, capable of effectively influencing mass consciousness. Fundamental shifts in the organization of social existence create new challenges for the system of political education and scientific research. While previously the most sought-after metacompetence was the skill of ‘learning how to learn’, i.e., the ability to independently acquire new knowledge, today the relevant metacompetence is the principle of ‘learning to change’, i.e., the ability to manage changes and innovations. No less important is the reassessment of the concepts of power and political subjectivity. Key themes in political science may include the study of algorithms as new forms of governance and global geopolitics of artificial sociality. Another significant dimension is the ethical task of developing normative frameworks for regulating interactions between people and artificial agents. Accordingly, new challenges demand new methodological perspectives and methodical practices. Thus, artificial sociality is not just a challenge for the social sciences in general and political science in particular – it is a unique opportunity for the transformation and reshaping of political knowledge. The study of artificial sociality can open new horizons for political science.
Anatoly Torkunov (Wed,) studied this question.