Recent algorithms in artificial intelligence (AI) are often referred to as “black box” models, meaning their inputs and operations are not visible to the user or any other party, making their decisions difficult to interpret. eXplainable AI (XAI) is a class of methods that seeks to address the lack of AI interpretability and trust by explaining AI decisions to customers.Recent algorithms in artificial intelligence (AI) are often referred to as “black box” models, meaning their inputs and operations are not visible to the user or any other party, making their decisions difficult to interpret. eXplainable AI (XAI) is a class of methods that seeks to address the lack of AI interpretability and trust by explaining AI decisions to customers.Business[#item_full_content]