XAI Based Intelligent Systems for Society 5.0 (eBook, ePUB)

Redaktion: Al-Turjman, Fadi; Bilal, Muhammad; Singh, Anuj K.; Naved, Mohd; Nayyar, Anand

• Format: ePub

Produktbeschreibung

XAI Based Intelligent Systems for Society 5.0 focuses on the development and analysis of Explainable Artificial Intelligence (XAI)-based models and intelligent systems that can be utilized for Society 5.0-characterized by a knowledge intensive, data driven, and non-monetary society. The book delves into the issues of transparency, explainability, data fusion, and interpretability, which are significant for the development of a super smart society and are addressed through XAI-based models and techniques. XAI-based deep learning models, fuzzy and hybrid intelligent systems, expert systems, and intrinsic explainable models in the context of Society 5.0 are presented in detail.

The book also addresses-using XAI-based intelligent techniques-the privacy issues intrinsic in storing huge amounts of data or information in virtual space. The concept of Responsible AI, which is at the core of the future direction of XAI for Society 5.0, is also explored in this book. Finally, the application areas of XAI, including relevant case studies, are presented in the concluding chapter. This book serves as a valuable resource for graduate/post graduate students, academicians, analysts, computer scientists, engineers, researchers, professionals, and other personnel working in the area of artificial intelligence, machine learning, and intelligent systems, who are interested in creating a people-centric smart society.

• Defines the basic terminology and concepts surrounding explainability and related topics to bring coherence to the field
• Focuses on what techniques are available to improve explainability and how explainability can progress society
• Offers a broad range of topics, addressing multiple facets of XAI within the context of Society 5.0

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 700
• Erscheinungstermin: 1. November 2023
• Englisch
• ISBN-13: 9780323957847
• Artikelnr.: 69560110