This book offers a comprehensive treatise on the recent pursuits of
Artificial Intelligence (AI) - Explainable Artificial Intelligence
(XAI) by casting the crucial features of interpretability and
explainability in the original framework of Granular Computing. The
innovative perspective established with the aid of information
granules provides a high level of human centricity and transparency
central to the development of AI constructs. The chapters reflect
the breadth of the area and cover recent developments in the
methodology, advanced algorithms and applications of XAI to visual
analytics, knowledge representation, learning and interpretation.
The book appeals to a broad audience including researchers and
practitioners interested in gaining exposure to the rapidly growing
body of knowledge in AI and intelligent systems.
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