Intellectual Structure of Explainable Artificial Intelligence: a Bibliometric Reference to Research Constituents

Abstract

Abstract The need for easier-to-understand and more interpretable AI systems has led to the rise of explainable artificial intelligence (XAI) in recent years. In the realm of explainable artificial intelligence, this paper briefly reviews the work carried out, along with a conceptual framework. The researchers conducted a systematic review of 4781 research publications obtained from the Scopus database spanning the years 2004 to 2023 using the VOSViewer tool. The research shows that there has been exponential growth in terms of publications from the year 2018. The study establishes its prominence by studying the publication activities based on the year of publication and region, citation analysis, research designs, data analysis techniques, and findings from the selected articles.

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