A Study of eXplainable Artificial Intelligence: A Systematic Literature Review of the Applications

eXplainable Artificial Intelligence (XAI) has attracted researchers in various domains over the last few years. Explainable AI includes the explainability in the AI systems which capable of explaining their decisions. This study performs a systematic literature review on XAI. In the first phase, we collected 78 high-quality web of science research journal papers from the Scopus data. It revealed that IEEE access and Expert systems with applications are the main targeted journals for researchers for XAI. Our study applies an Apriori algorithm and network analysis to get the dominant theme and check the connectivity among the methods/techniques respectively. The analysis showed that Robotics, Financial Services, Healthcare, Banking, Security, and business are the most dominant areas where XAI provides an explainability to the artificial intelligence (AI) systems. Based on our analysis, this literature review provides a future direction for researchers, academicians, and industrialists.