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The aim of the article is to contribute to a better understanding of the literature in the field of artificial intelligence (AI) policy and to demonstrate the possibilities of using software for automated processing of information arrays loaded from bibliographic databases for bibliometric analysis of this complex interdisciplinary research field. Methods. First, we use a descriptive analysis of articles and authors to define what “AI policy” is and the main directions of this research field. Secondly, we define the conceptual structure of the research field using bibliometric analysis, which allows us to create a map of the main and especially important topics of study. These themes have been analyzed and grouped. Third, we identify areas for future research. Results. In total, 1545 publications were analyzed from the Google Scholar database for the period 1968–2022. The obtained results testified to the possibility of effective use of special software for the scientific trends analysis Conclusion. The qualitative interpretation of the results made it possible to propose several areas of research that should be developed in the future. The first notable observation is the paucity of research examining AI policy and its quality in the face of geopolitical shock. The second research observation is that there is little research on the effects assessment of AI policies.
R. V. Bolgov (Thu,) studied this question.