Artificial Intelligence: Bibliometric Analysis in Government Studies

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Abstract

Artificial intelligence systems have become a massive thing in all sectors, both in the business world and government institutions and in the development of technology and information. Therefore, this research focuses on mapping the trend of the study of artificial Intelligence in a government study. This research uses a qualitative method with a literature study. In this bibliometric research, the data collected are journals and articles taken from Scopus using the keyword “artificial intelligence” and processed through NVivo 12 Plus and VOSviewer. Through this research, the researcher finds a tendency in the artificial intelligence discourse more directed to alternative system improvements in government, both in policymaking and public sector management. This research is expected to be a trigger for improving the government system, especially in a more transparent and democratic policymaking plan, seeing that several countries have started to develop research on artificial intelligence, of course, this research will help analyze the direction of the development of synthetic intelligence studies which are more directed toward the improvement of the policymaking system in government institutions.

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APA

Djen, R. A. M., Nurmandi, A., Muallidin, I., Kurniawan, D., & Loilatu, M. J. (2023). Artificial Intelligence: Bibliometric Analysis in Government Studies. In Lecture Notes in Networks and Systems (Vol. 465, pp. 411–418). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2397-5_39

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