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Model of a New Social Contract in the Context of Robotization and Introduction of Artificial Intelligence

https://doi.org/10.26794/2226-7867-2026-16-2-95-102

Abstract

Robotization and the introduction of AI exert systemic pressure on the social contract due to the gap between the pace of technological transformation and the speed of institutional adaptation. In this context, the revision of the social contract to align with new realities is relevant. The purpose of the article is to examine the model of the new social contract forming as a result of robotization and the introduction of AI. The study employs conceptual modeling based on trends in political practices, labor market, and economic policy. As a result of the research, the main factors for revising the social contract are identified: (1) deficit of accountability of algorithmic power, (2) labor polarization and increasing vulnerability of social groups, (3) employment redistribution and problems of social integration. A model of the new social contract is presented, including algorithm transparency, innovations in the field of labor and education, as well as new tools for resource redistribution. The new social contract performs an adaptive function, providing intermediate institutions for collective risk management and future design. The research results supplement current works on the consequences of robotization and the introduction of AI, future research should account for new links between technologies, institutions, employment, and social mobility.

About the Author

D. R.  Mukhametov
Financial University under the Government of the Russian Federation
Russian Federation

Daniyar R. Mukhametov —Cand. Sci. (Polit.), Research Associate of the Institute of Humanitarian Technologies and Social Engineering, Senior Lecturer of the Chair of Political Science

Moscow



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Review

For citations:


Mukhametov D.R. Model of a New Social Contract in the Context of Robotization and Introduction of Artificial Intelligence. Humanities and Social Sciences. Bulletin of the Financial University. 2026;16(2):95-102. (In Russ.) https://doi.org/10.26794/2226-7867-2026-16-2-95-102

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ISSN 2226-7867 (Print)
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