Publication Patterns of AI Policies as a Research Domain

First, we provide a descriptive analysis of papers and authors in order to determine what AI policies mean and what are the key segments of this research domain. Second, we analyze the conceptual structure of research field using bibliometric analysis which allows to create a map of highly important topics studied. These topics were analyzed and grouped. Third, we suggest future research fields. In total, 1545 publications from databases of Google Scholar during the period 1968–2022 were analyzed. The results indicated on a possibility of the effective use of the functionality of Biblioshiny to analyze trends in science. Qualitative interpretation of results assisted to propose a few directions of deliberative studies which should be developed in the future. The first prominent observance is a lack of studies exploring AI policies and its quality in the conditions of geopolitical shock. The third research idea is about understanding what AI policies represent and what effects they have.