Artificial intelligence technologies as a factor in improving public administration: Challenges and threats

Aim. The work aimed to consider in detail and systematize the impact of artificial intelligence (hereinafter referred to as AI) on various aspects of public administration, including improving decision-making processes, optimizing interaction with citizens, increasing the efficiency of government agencies, as well as identifying potential risks and challenges associated with the use of these technologies, including neural interfaces. Objectives. The work seeks to assess the real consequences of integrating AI into the management sphere with an emphasis on improving the efficiency of decision-making, automating processes and interacting with citizens; identify risks, including threats to privacy and risks of job losses, as well as the impact on ethical standards; study expert opinions on the problems of developing models for integrating AI and neurotechnologies into public administration; analyze their impact on the social structure and the role of AI technologies in regulating public policy from the standpoint of the sociology of management. Methods. The use of systemic and risk-oriented approaches in studying the impact of AI technologies on the transformation of the public administration system provided a comprehensive analysis of the processes of integrating AI into public administration processes. This approach enabled to identify key management relationships and explore the multi-level structure of AI technologies institutionalization in management activities. Results. AI is used to optimize the processing of government applications, improve budget management and resource planning. AI-based systems help analyze large amounts of data, which contributes to more accurate forecasting of economic and social trends, making more informed decisions in social policy, healthcare, and education. In particular, AI algorithms are used to optimize the distribution of budget funds, improve the process of adopting legislative initiatives, and assessing their impact on society. The use of intelligent systems also contributes to the automation of many administrative processes, such as the processing of tax returns or applications for public services, which reduces bureaucratic obstacles and accelerates the interaction of citizens with government agencies. Conclusions. Russia is actively introducing AI technologies in the field of public administration and public decision-making in order to increase the efficiency and transparency of administrative processes for a fundamental increase in the effectiveness and efficiency of the implemented public policy in all spheres of the country’s life, making qualified, well-founded decisions on certain issues, primarily if it is necessary to proceed from the analysis (understanding) of an array of data.

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Publication Details

Journal
Economics and Management
Published
2025-03-24
DOI
https://doi.org/10.35854/1998-1627-2025-2-139-148
Citations
3
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
8.28
Controls
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article

Artificial intelligence technologies as a factor in improving public administration: Challenges and threats

D. A. Repin
3 citations
Economics and Management
Economic and Technological Systems Analysis
8.28
article

Artificial intelligence technologies as a factor in improving public administration: Challenges and threats

D. A. Repin
article en
3 citations

Abstract

Aim. The work aimed to consider in detail and systematize the impact of artificial intelligence (hereinafter referred to as AI) on various aspects of public administration, including improving decision-making processes, optimizing interaction with citizens, increasing the efficiency of government agencies, as well as identifying potential risks and challenges associated with the use of these technologies, including neural interfaces. Objectives. The work seeks to assess the real consequences of integrating AI into the management sphere with an emphasis on improving the efficiency of decision-making, automating processes and interacting with citizens; identify risks, including threats to privacy and risks of job losses, as well as the impact on ethical standards; study expert opinions on the problems of developing models for integrating AI and neurotechnologies into public administration; analyze their impact on the social structure and the role of AI technologies in regulating public policy from the standpoint of the sociology of management. Methods. The use of systemic and risk-oriented approaches in studying the impact of AI technologies on the transformation of the public administration system provided a comprehensive analysis of the processes of integrating AI into public administration processes. This approach enabled to identify key management relationships and explore the multi-level structure of AI technologies institutionalization in management activities. Results. AI is used to optimize the processing of government applications, improve budget management and resource planning. AI-based systems help analyze large amounts of data, which contributes to more accurate forecasting of economic and social trends, making more informed decisions in social policy, healthcare, and education. In particular, AI algorithms are used to optimize the distribution of budget funds, improve the process of adopting legislative initiatives, and assessing their impact on society. The use of intelligent systems also contributes to the automation of many administrative processes, such as the processing of tax returns or applications for public services, which reduces bureaucratic obstacles and accelerates the interaction of citizens with government agencies. Conclusions. Russia is actively introducing AI technologies in the field of public administration and public decision-making in order to increase the efficiency and transparency of administrative processes for a fundamental increase in the effectiveness and efficiency of the implemented public policy in all spheres of the country’s life, making qualified, well-founded decisions on certain issues, primarily if it is necessary to proceed from the analysis (understanding) of an array of data.

Economics and ManagementVol. 31(2)
Institute for Information Transmission Problems (RU)
Openalex Percentile: Top 4%
Economic and Technological Systems Analysis
8.28
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