Recent Applications Using Explainable Artificial Intelligence for Data Analytics

This survey paper offers a comprehensive analysis of recent advancements in eXplainable Artificial Intelligence (XAI) for data analytics, drawing from a meticulous review of 31 pertinent papers. Leveraging a focused selection process, we compare and categorize papers across multiple dimensions, including application domain, architecture, implementation level, explanation level, XAI method, model dependency, applications, and dataset characteristics. Our analysis highlights the diverse applications of XAI techniques, ranging from health care informatics to education, transportation, and beyond. Through this survey, we not only highlight recent applications but also identify key dimensions for further research and development, offering valuable insights for researchers and practitioners seeking to leverage XAI in data analytics effectively.