The use of artificial intelligence in public administration: Bibliometric analysis

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Artificial intelligence in public administration is critical for the modernization of the public sector and adaptation to the challenges of modern society. The paper analyzes studies dedicated to the impact of artificial intelligence on the efficiency, innovation, and transparency of management processes in the public sector using meta- and bibliometric analysis. The goal is to identify the main areas and keywords that highlight theoretical and practical aspects of artificial intelligence in public administration. In total, 879 scientific articles were analyzed, of which 598 works are devoted to artificial intelligence. Dynamic time analysis revealed a significant surge in scientific interest in artificial intelligence in public administration: from 2010 to 2019, 135 publications were devoted to this issue, and from 2020 to 2024, 421. Bibliographic maps of keywords and publication maps showed the main thematic areas of research on artificial intelligence: the application of AI in public administration and the public sector, decision-making in public administration, data management and digital technologies in public administration, and the strategic use of AI to forecast socio-economic trends.
The obtained data became the basis for expanding the scientific and practical potential of using artificial intelligence in public administration. The main areas of future research will concern the regulation of ethical issues to ensure the trust of citizens, the development of a regulatory framework and standards, increasing the efficiency of public services, the integration of artificial intelligence into strategic planning, and the use of artificial intelligence to achieve sustainable development goals.

Acknowledgment
The analysis was carried out within the framework of the implementation of the perspective plan for the development of the scientific area “Social Sciences” of Sumy State University, number d/r 0121U112685.

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    • Figure 1. Research methodology
    • Figure 2. Scientific bibliography of the keywords “artificial intelligence,” “public administration,” and “state administration” for 2018–2024
    • Figure 3. Distribution of publications by field of knowledge using the term “artificial intelligence” in titles and keywords
    • Figure 4. Dynamics in the evolution of scientific research for 2018–2024 by keywords “artificial intelligence,” “public administration,” and “state administration”
    • Figure 5. Geographic map of scientific research on the concepts of “artificial intelligence,” “public administration,” and “state administration” for 2020–2024
    • Figure 6. Geographic map of the spatio-temporal dimension of scientific research on the concepts of “artificial intelligence,” “public administration,” and “state administration” for 2020–2024
    • Table 1. Number of publications on the topic of artificial intelligence in public administration in the Scopus database (1980–2024)
    • Table 2. Frequency of keywords related to the topic artificial intelligence in public administration in Scopus publications for 2020–2023
    • Conceptualization
      Ihor Rekunenko, Iana Kobushko, Oleksii Dzydzyguri, Inna Balahurovska
    • Formal Analysis
      Ihor Rekunenko, Iana Kobushko, Oleksii Dzydzyguri, Inna Balahurovska
    • Investigation
      Ihor Rekunenko, Iana Kobushko, Oleksii Dzydzyguri, Inna Balahurovska
    • Methodology
      Ihor Rekunenko, Iana Kobushko, Oleksii Dzydzyguri, Inna Balahurovska
    • Project administration
      Ihor Rekunenko, Iana Kobushko, Oksana Yurynets, Oleksandr Zhuk
    • Supervision
      Ihor Rekunenko, Iana Kobushko
    • Writing – original draft
      Ihor Rekunenko, Iana Kobushko, Oleksii Dzydzyguri, Inna Balahurovska
    • Data curation
      Iana Kobushko, Oleksii Dzydzyguri, Oksana Yurynets, Oleksandr Zhuk
    • Writing – review & editing
      Iana Kobushko, Oleksii Dzydzyguri, Inna Balahurovska, Oksana Yurynets, Oleksandr Zhuk
    • Validation
      Oleksii Dzydzyguri, Oksana Yurynets, Oleksandr Zhuk
    • Visualization
      Oleksii Dzydzyguri, Oksana Yurynets, Oleksandr Zhuk