The Fourth Industrial Revolution, which is hallmarked by the convergence of digital, biological, and physical systems, has placed AI at the heart of all technological advancements. In turn, this chapter uses bibliometric techniques to provide an in-depth analysis of AI innovations in such a transformative era. Moreover, due to the use of the Len.org database, we have an opportunity to highlight various trends in the field of AI, determine research areas that require more profound analysis, and identify the emergent topics within the domain. To provide a more sophisticated review of bibliometric data, one may apply different techniques of analysis, such as cocitation analysis and network mapping. Together, the implemented methods expose an intricate web of knowledge that impacts current developments in AI research. In this study, the authors search for the links between technological advancements and changes in the role of AI. It is of paramount importance to identify the influence of certain regions, institutions, and scholars on the AI field of study. For this reason, the reflection on the latest trends allows the authors to compare different studies, note the difficulties in the field, such as data availability and methodology, and derive new insights for other researchers. The latter is critically vital since it is essential to comprehend a path researchers may follow to understand the implications of technological advancement in different periods. In such a way, bibliometric techniques may also determine the current path of AI research and outline emergent trends of future studies.
Keywords: Artificial Intelligence (AI), Bibliometric analysis, Emerging trends, Fourth industrial revolution, Industry 4.0, Innovation ecosystem, Len.org database.
