Artificial Intelligence Regulation: A Bibliometric Analysis

This research presents a bibliometric analysis of artificial intelligence regulation. The analysis is based on a comprehensive review of 3186 papers published between 2000 and 2024. We used bibliometric data analysis techniques such as keyword co-occurrence visualization, citation mapping, bibliographic coupling, and thematic analysis to map and visualize the current knowledge structure of AI regulation. The researchers used VOSviewer and Rstudio to conduct this study. This approach sheds light on emerging fields, research streams, and future research trends in AI regulation, contributing to a deeper understanding of AI regulation based on a thorough analysis of the AI literature.