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Implementation of Artificial Intelligence in E-Government Services: Analysis and Prospects

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  • V. Ð . Belyi
  • Ð . V. Chugunov

Abstract

This article serves as a preparatory study for a research project aimed at identifying the most likely socio-political and institutional changes associated with the implementation of artificial intelligence (AI) in electronic government services in Russia. The methodology is based on neoinstitutional and network approaches, as well as principles of rational choice theory. This allows for the analysis of formal and informal rules, coordination between actors, and the motivations behind their behavior. The source material includes publications from the Russian Science Citation Index (RSCI), Scopus, WoS, and IEEE databases, government policy documents, and data onAI implementation in various sectors. Particular attention is paid to examining the benefits, risks, and changes associated with the ongoing integration of AI into government services. The reviewed cases of new technology implementation demonstrate significant potential for reforming public administration, improving service efficiency, and improving communication between authorities and citizens. Significant risks associated with the implementation of AI in electronic government services are highlighted. The analysis demonstrates that the successful implementation of AI can be ensured by a balanced strategy that considers security, transparency, and the ability to trust technology. This article presents the interim results of a research project aimed at identifying digital behavior strategies for specific age groups. Younger and middle-aged generations fear the replacement of humans by AI tools, while older generations are unprepared for digital transformation. Based on the identified trends and scenarios for the implementation of AI tools in electronic services, a source study and methodological framework for the upcoming research project has been developed.Â

Suggested Citation

  • V. Ð . Belyi & Ð . V. Chugunov, 2025. "Implementation of Artificial Intelligence in E-Government Services: Analysis and Prospects," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 5.
    • Handle: RePEc:acf:journl:y:2025:id:2824
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    References listed on IDEAS

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    3. Kuziemski, Maciej & Misuraca, Gianluca, 2020. "AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings," Telecommunications Policy, Elsevier, vol. 44(6).
    4. Jon Kleinberg & Himabindu Lakkaraju & Jure Leskovec & Jens Ludwig & Sendhil Mullainathan, 2018. "Human Decisions and Machine Predictions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 237-293.
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