Vol. 27 No. 4 (2025)

The authors evaluated the demand for AI solutions in the public sector and the AI technology available on the market using data from the Russian software registry and a comparative examination of the types of AI technologies employed at the federal and local levels. The study confirms that: (a) there is a correlation between the structure of AI solutions and public sector demand; (b) federal and municipal governments have quite different priorities for implementing AI; and (c) there is a need to standardize approaches, replicate successful practices, and remove technical, organizational, and legal barriers to scaling AI in public administration. Based on the compatibility of the solutions’ structure with the needs of the public sector, the authors believe that the domestic AI industry has reached a high level of maturity. At the same time, the accelerated introduction of AI into the public administration system highlights the need to develop unified regulatory frameworks, adapt organizational structures to new technological realities, and create a comprehensive trust infrastructure for algorithmic decision-making.

The article considers the concept of extrajudicial collection of tax debts from individuals in compliance with the provisions of Federal Law No. 287-FZ of July 31, 2025. The authors outline the legislator’s alleged goals and argue that modifications to the process for collecting these debts are necessary, while considering the level of social relations development. Using a formal-logical approach, constitutionally significant principles for the implementation of extrajudicial debt collection procedures are derived based on an analysis of the positions of the Russian Federation’s Constitutional Court regarding the boundaries of admissibility of mandatory enforcement of individuals’ tax obligations. Based on the findings of researching the provisions of the legislation through the lens of the derived principles, the authors identify substantive and procedural safeguards for the protection of persons’ rights within the framework of legal contacts relating to the collection of tax debts.

The article looks at current topics in the philosophy and practice of enforcing anti-corruption compliance in government agencies and businesses. The author focuses particularly on the challenges of establishing and maintaining compliance in Russia. The study investigates the relationship between the concepts of «prevention» and «compliance» and underlines their primary distinctions. The article looks at the fundamentals of this organization and how it functions as a framework for internal control over adherence to Russian law in public agencies and businesses. The article analyzes the tools of Russian anti-corruption legislation, as well as the positive experience of implementing anti-corruption compliance in Russia, which indicates the need for further dissemination of this method of preventing corruption. Based on analysis and summary of compliance practices in Russia, the author identifies the main problem with its implementation: the lack of a definition enshrined in legislation, which often leads to broad interpretations and debates. The author concludes that the main task of this institution in terms of normative legal regulation is to raise awareness among economic entities of the possible risks of violating the law, ways to eliminate them, and the creation of the appropriate prevention system.

The authors evaluated the demand for AI solutions in the public sector and the AI technology available on the market using data from the Russian software registry and a comparative examination of the types of AI technologies employed at the federal and local levels. The study confirms that: (a) there is a correlation between the structure of AI solutions and public sector demand; (b) federal and municipal governments have quite different priorities for implementing AI; and (c) there is a need to standardize approaches, replicate successful practices, and remove technical, organizational, and legal barriers to scaling AI in public administration. Based on the compatibility of the solutions’ structure with the needs of the public sector, the authors believe that the domestic AI industry has reached a high level of maturity. At the same time, the accelerated introduction of AI into the public administration system highlights the need to develop unified regulatory frameworks, adapt organizational structures to new technological realities, and create a comprehensive trust infrastructure for algorithmic decision-making.

The article discusses the prospects for the implementation of intelligent energy metering systems (IEMS) as a key element of modern energy infrastructure. The primary objective is to assess the effectiveness of IEMS implementation in the context of developing the “smart city” concept and the digital transformation of the energy sector. The authors examine the impact of IEMS on the development of energy efficiency in the economy, the stimulation of innovative technologies, and the creation of new jobs; they consider the prospects for integrating IEMS with machine learning technologies. The possibility of creating a unified digital ecosystem for energy consumption is also noted. The authors analyze the economic benefits of implementing IEMS, including reduced electricity losses, cost optimization, and improved customer service. The social effects of implementing these systems are emphasized: simplified interaction with energy companies, the ability to control costs, and improved environmental conditions. The authors propose initiating the development of administrative measures that will allow the full potential of IEMS to be realized.

The article discusses the potential introduction of intelligent electricity metering systems (IEMS) as an essential component of modern energy infrastructure. The primary objective is to assess the efficiency of IEMS implementation in the context of cultivating the «smart city» concept and the digital transformation of the energy sector. The authors examine the financial advantages of putting IEMS into practice, such as lower electricity losses, cost optimization, and higher-quality customer service. The social effects of putting these systems into practice are given particular attention. These benefits include making it easier to communicate with energy firms, facilitating cost control, and enhancing the environment. At the same time, it should be noted that the actual implementation of IEMS is limited in scope, utilizing only some of its functions. The authors propose initiating the development of administrative measures that will allow the full potential of IEMS to be realized. The paper examines the impact of IEMS on economic energy efficiency growth, the support of innovative technologies, and job creation. The authors also consider the possibility of combining machine learning technologies with IEMS. The introduction of new technologies will facilitate the development of a unified digital ecosystem for energy consumption. The study’s practical value is supported by an examination of a real-life project to deploy an IEMS in the Rostov region, which shows a considerable reduction in electricity losses and an increase in energy consumption efficiency. The study’s conclusions can be applied to planning the energy infrastructure modernization in other regions.

The article provides a thorough examination of Russia’s economic structure with an emphasis on security, stability, and defense capabilities. The author investigates external and internal influencing factors, including changes in global political architecture, government composition, and economic system models. The study focuses on the transformation of state economic and space management, as well as an analysis of the space industry and its future prospects. As a management instrument, the author suggests the «Influence Model» and highlights the significance of a differentiated assessment of the relative influence of internal and external factors. The development of the economic system is significantly influenced by a number of factors and circumstances. These can be separated into interdependent external and internal influential factors. These influencing factors affect the economic system by influencing how individual economic entities function, which shapes changes in the industry as a whole. Identifying the influencing factors and the supporting systems of the economic entity on which they have an impact will allow for more thoughtful approaches to transforming the economic management system. The study’s conclusions include suggestions for overseeing the space industry and the economy, which will guarantee a more equitable approach to management in different areas.

The relevance of the research topic is determined by the fact that the formation of an optimal cash flow management system with the aim of minimizing risks is currently a particularly pressing issue for Russian enterprises. Modern economic entities operate in times of serious crisis. Along with a change to an innovative system of financial and economic values, new comprehensive and methodical models of development must be created. It is important to note that the companies with the unorganized management and control systems experienced the most severe issues during the crisis. Large organizations with well-defined management models were able to adapt to the new economic realities and the crisis situation rather easily. However, the development and improvement of the management system as a whole, and financial management as a crucial component of administration in particular, now call for more forward-looking approaches. To create such strategies, it is critical to examine current ideas, point out their advantages, and draw attention to their main drawbacks. At the same time, higher-quality and more progressive approaches should be based on an understanding of the current situation, as well as the use of advanced digital technologies to ensure the quality, consistency, accuracy, and effectiveness of the financial management processes. The author emphasizes that addressing the problem of legal and regulatory support for financial management will help to modernize the conceptual framework and develop a cohesive methodology that is applicable to contemporary Russian businesses.

The article examines methods for determining a country’s comparative advantages in international food markets. It should be noted that the strategic development of the agro-industrial complex in line with global trends allows for a balanced foreign economic policy and creates additional momentum for both economic growth and strengthening the country’s position on the international stage. In this regard, it is becoming increasingly important to analyze the comparative advantages of countries in the agri-food markets. The methodology relies on factor analysis of export growth, encompassing its split into diversification and consolidation, along with intensive and extended development. The authors provide a summary of both domestic and international studies on this subject. The article explores Kazakhstan as a case study to analyze the implementation of the Balassa index in evaluating export competitiveness and identifying its growth drivers and potential. The article concludes with recommendations on applying these findings to increase the export of agricultural products in the CIS and EAEU countries.

The article presents an analysis of the results of a sociological survey conducted among students at the Russian Presidential Academy of National Economy and Public Administration (N = 1943). Based on these findings, the human resource potential of public authorities is described, and conclusions are drawn about the influence of the professional environment on the formation of the social and professional orientations of future civil servants during their studies at the university. The study shows that significant predictors of an orientation towards employment in government organizations include values such as responsibility for the country's future, a desire for a high social status, and the preservation of the nation's historical memory. The most crucial factor for municipal service is a desire to benefit the society. The author also investigated the impact of socio-demographic and other factors on the desire to pursue a career in public service. Students at the Presidential Academy who study in regional areas are predominantly male and demonstrate a negative attitude towards remote working, and are more likely to be interested in working for public authorities.

The article presents an analysis of the results of a sociological survey conducted among students at the Russian Presidential Academy of National Economy and Public Administration (N=1943). Based on these findings, the human resource potential of public authorities is described, and conclusions are drawn about the influence of the professional environment on the formation of the social and professional orientations of future civil servants during their studies at the university. The study shows that significant predictors of an orientation towards employment in government organizations include values such as responsibility for the country’s future, a desire for a high social status, and the preservation of the nation’s historical memory. The most crucial factor for municipal service is a desire to benefit the society. The author also investigated the impact of socio-demographic and other factors on the desire to pursue a career in public service. Students at the Presidential Academy who study in regional areas are predominantly male and demonstrate a negative attitude towards remote working, and are more likely to be interested in working for public authorities.

The study analyzes the main developments in the demographic landscape in the Far Eastern Federal District at the present stage. In a comparative study of the region's major demographic indicators, the author highlighted the impact of natural population decline caused by falling birth rates and rising mortality among the working-age population. The paper indicates the socioeconomic consequences of the current demographic situation in the Far Eastern Federal District. There has been a decline in the working-age population and a decrease in the proportion of young people. Meanwhile, we can see an increase in the number of people of retirement age. The region is facing a decline in its labor force, increased pressure on social infrastructure, and a reduction in its economic development potential. This could lead to social tension in the region. Migration processes in the Far Eastern Federal District remain a principal contributing factor to depopulation. The author suggests ways to develop measures to stabilize the population and improve the region's socio-economic situation. In addition to the measures already in place to support families with children and encourage birth rates, the study proposes measures for attracting qualified specialists and gives emphasis to the importance of infrastructure development, improved transport accessibility, and quality of life enhancement.

In the face of today’s challenges and shifts in the global situation, with limited time and resources, it is vital to establish technological leadership and advance scientific and technological competencies. One cannot achieve technological sovereignty and economic security without scientific and technological discoveries, new industries, and the advancement of science. For knowledge-intensive and high-tech industries, it is crucial to train highly qualified personnel and improve the quality and quantity of dissertation defenses. In this regard, the role of the research supervisor is becoming increasingly significant to a certain extent. When studying issues related to dissertation defense, we should consider not only motivational factors, but also barriers to academic supervision. The article examines the findings from ten in-depth interviews conducted with academic supervisors in the nuclear energy sector. These supervisors oversee a total of 24 dissertation studies. The author also conducted an online survey to gather opinions on the priorities, objectives, plans, and expectations of scientific activity, as well as the difficulties encountered when defending dissertations. The results of the study show that in order to develop segments of the knowledge economy, it is necessary to improve efforts by transforming approaches to creating favorable conditions for scientific leadership.

Digitalization has become the new norm for many businesses due to the rapid growth of contemporary technologies. The key to success is the ability to adapt effectively to changing circumstances and challenges. Simultaneously, the digital revolution brings reasonable fears about job losses. In these situations, it is especially crucial to adopt a human-centered strategy that prioritizes psychological well-being of employees and seeks to help them reach their full potential and adjust to constantly evolving conditions, such as through ongoing professional development. To ensure the successful implementation of digital transformation, it seems necessary to establish a national program of continuous training for citizens on the competencies required for digital transformation.

The article examines the value and primary uses of chatbots and AI assistants in the public sector in the context of Russia’s digital transformation. The primary emphasis is on the benefits and risks of deploying AI assistants in the public sector. The author provides examples of their successful application in the Russian Federation and abroad. The paper identifies the technological capabilities and functional purpose of global practices in using chatbots and AI assistants in the field of public services by conducting a comparative analysis of official websites from other countries. An analysis of the potential capabilities of the Russian AI assistant “Robot Max” showed operational indicators of the technological, functional, and sociocultural completeness of one of the most advanced AI assistants in Russia’s public service sector. An analysis of global practices in the application of AI assistants for the public sector enables us to pinpoint elements that enhance the efficiency of their use. This includes the existence of a comprehensive state strategy for the advancement of artificial intelligence in general and the application of AI assistants in the public sector in particular. To advance AI in the public sector, the state must provide systematic financial and organizational support for pertinent scientific research, develop and enhance the regulatory framework for the use of AI assistants, ensure cybersecurity measures and complete protection of citizens’ personal data when using AI assistants, and guarantee the security and dependability of the data that AI assistants use to evaluate user requests and make decisions.