Pub Date : 2023-12-20DOI: 10.1109/EMR.2023.3342200
Peter E. D. Love;Jane Matthews;Weili Fang;Stuart Porter;Hanbin Luo;Lieyun Ding
Explainable artificial intelligence (XAI) is a burgeoning concept. It is gaining prominence as an approach to better understand how artificial intelligence solutions' outputs can improve decision making. Evaluation frameworks to enable organizations to understand XAIs what, why, how, and when are yet to be developed. Thus, we aim to fill this void by developing a conceptual content