XAI Based Intelligent Systems for Society 5.0

Erscheinungsjahr 2023
ISBN: 978-0-323-95315-3
Verlag: William Andrew Publishing

Buch, Englisch, 700 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 680 g

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.

Zielgruppe

Researchers, post graduate students, professionals, developers, practitioners, data scientists, and other individuals interested in advanced developments in the area of artificial intelligence and its applications in smart society
Policy-makers, end users, management, evaluators, and others implementing XAI systems; instructors who need an overview of XAI to help students learn the concepts

Autoren/Hrsg.

Nayyar, Anand

Naved, Mohd

Singh, Anuj K.

Bilal, Muhammad

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Regional- & Raumplanung Stadtplanung, Kommunale Planung

Inhaltsverzeichnis

- Paradigm Shift from AI To XAI Of Society 5.0: Machine-Centric To Human-Centric
- Towards Explainable Artificial Intelligence: History, Present Scenarios and Future Trends
- Need for Explainable Artificial Intelligence Ethnic Decision Making in Society 5.0
- Explainable AI for Deep Learning Model on PCOD Analysis
- Society 5.0 and Explainable Artificial Intelligence - Implications
- XAI in Human Motion Recognition and Analysis for Envisioning Society: A Systematic Review
- Envisioning Towards Modernization of Society 5.0- A Prospective Glimpse on Status, Opportunities, and Challenges With XAI
- XAI for Society 5.0: Requirements, Opportunities, and Challenges in the Current Context
- Role of XAI in building a Super Smart Society 5.0
- XAI in Society 5.0 Through the Lens of Marketing and HRM
- Explainable Multi-Agent Systems-based Decision Support System Using Blockchain Technology
- Explainable Sentiment Analysis on Product Review using Hugging-Face Transformer
- Security and Privacy Aspects in Intelligence Systems Through Blockchain and Explainable AI

Über Autor(innen)

Nayyar, Anand
Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Faculty of Information Technology- Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.

Naved, Mohd
Dr. Mohd Naved is an Associate Professor at Jaipuria Institute of Management in Noida, India, with over a decade of experience in Business Analytics, Data Science, and Artificial Intelligence. His research focuses on the applications of business analytics, data science, and artificial intelligence across various industries.

Singh, Anuj K.
Anuj Kumar Singh is working as an Associate Professor in the Department of Computer Science & Engineering at Adani University, Ahmedabad (India). He has more than 18 years of teaching experience in technical education. He holds a Ph.D degree in the field of Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. He has published more than 30 research papers in journals and conferences including Scopus and SCIE, he has also authored one book and edited three. He has been granted four patents and has filed one. His areas of specialization include Cryptography, Network and Information Security, Blockchain Technology, Intelligent Systems, and Algorithm Design.

Bilal, Muhammad
Muhammad Bilal is Assistant Professor in the Division of Computer and Electronic Systems Engineering at Hankuk University of Foreign Studies, Rep. of Korea. He earned his PhD in Information and Communication Network Engineering in 2017 at the University of Science and Technology Korea. He then served as a Graduate Research Fellow at Protocol Engineering Center, Electronics and Telecommunications Research Institute, then was a Postdoctoral Research Fellow at the Department of Electrical Engineering, Korea University. His research interests include Network Optimization, IoT, Information Centric Network, Network Security, Cryptology, Machine Learning, and Vehicular Networks. He has over 40 publications in international refereed journals. He was an Invited Guest Researcher at I3S laboratory, CNRS, Sophia Antipolis, France. He's an editorial board member of IEEE Internet Policy Newsletter and IEEE Future Directions Ethics and Policy in Technology Status, and Guest editor of Edge Intelligence in Internet of Things using Machine Learning, Mobile Information System.