  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.
