XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory
This review aims to facilitate learning for early-stage XAI researchers and provide a clear overview for experienced scholars by connecting practical and theoretical insights in XAI.
This paper reviews the practical and theoretical aspects of Explainable AI (XAI) by categorizing black-box explanations with a practical example and discussing the theoretical grounding of explanations across multidisciplinary fields.
In this work, we report the practical and theoretical aspects of Explainable AI (XAI) identified in some fundamental literature. Although there is a vast body of work on representing the XAI backgrounds, most of the corpuses pinpoint a discrete direction of thoughts. Providing insights into literature in practice and theory concurrently is still a gap in this field. This is important as such connection facilitates a learning process for the early stage XAI researchers and give a bright stand for the experienced XAI scholars. Respectively, we first focus on the categories of black-box explanation and give a practical example. Later, we discuss how theoretically explanation has been grounded in the body of multidisciplinary fields. Finally, some directions of future works are presented.