Demystifying Applications of Explainable Artificial Intelligence (XAI) in e-Commerce

The past ten years have witnessed significant advancements in artificial intelligence (AI), which has led to the widespread implementation of algorithms for the purpose of solving a wide range of issues. Nevertheless, in order to achieve this level of success, model complexity has been increased while at the same time black-box AI models, which lack clearness, have been utilized. With respect to the above mentioned demand, a concept known as XAI is presented with the goal of making AI more understandable and, as a result, accelerating the adoption of AI in important areas. Several relative ideas of XAI prime part in the published article, these difficulties and research ideas over Explainable AI are dispersed despite the fact that they have been identified. This chapter will provide an introduction to XAI, which will describe Why Explainable AI is needed, the various types of perspective groups, the three unique parts that make up XAI, and issues in XAI.