ARTIFICIAL INTELLIGENCE APPLICATIONS IN PUBLIC HUMAN RESOURCE MANAGEMENT IN RUSSIA: STATUS AND PROSPECTS

Abstract

This article analyzes current practices for integrating artificial intelligence into public human resource management in the Russian Federation, with a particular focus on assessing the quality of human capital and planning the public workforce. The primary objective of the study is to identify institutional, territorial, and functional forms of AI technology use in the public sector, as well as to assess their maturity, actual scale, and development prospects. The results show that the integration of AI into public human resources management in Russia remains fragmented and uneven. Municipal authorities primarily focus on short-term operational solutions, such as automating HR tasks and tracking headcount. Regional authorities, in contrast, are investing more in advanced analytical tools and predictive models to forecast future skill needs, optimize workforce structure, and identify institutional risks associated with demographic changes. The federal level is distinguished by the development of complex digital ecosystems integrating AI into training, talent management, and strategic planning. The article highlights the dual dynamics of artificial intelligence development in human resource assessment in Russia: the private sector is the primary driver of algorithmic innovation, while the state plays a key role in defining standards of legitimacy, transparency, and social responsibility. The gradual convergence of these two logical principles appears to be a crucial condition for the formation of a sustainable national ecosystem for smart human capital management.