Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges

There is an urgent need in many application areas for eXplainable ArtiiciaI Intelligence (XAI) approaches to boost people’s conidence and trust in Artiicial Intelligence methods. Current works concentrate on speciic aspects of XAI and avoid a comprehensive perspective. This study undertakes a systematic survey of importance, approaches, methods, and application domains to address this gap and provide a comprehensive understanding of the XAI domain. Applying the Systematic Literature Review approach has resulted in inding and discussing 155 papers, allowing a wide discussion on the strengths, limitations, and challenges of XAI methods and future research directions.