XAI Based Intelligent Systems for Society 5.0

1st Edition - November 29, 2023
Editors: Fadi Al-Turjman, Anand Nayyar, Mohd Naved, Anuj K. Singh, Muhammad Bilal
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 5 3 1 5 - 3
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 5 7 8 4 - 7

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… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Section I. Paradigm shift and history of XAI
Chapter 1. Paradigm shift from AI to XAI of Society 5.0: Machine-centric to human-centric
1. Introduction
2. Concept of XAI of Society 5.0
3. Shift from machine-centric to human-centric
4. Conclusion and future scope
Chapter 2. Towards explainable artificial intelligence: history, present scenarios, and future trends
1. Introduction
2. From AI to XAI
3. The what, why and how of XAI
4. Recent development trends in XAI
5. Perspective toward what is yet to be achieved in the field
6. Conclusion
Chapter 3. Society 5.0 and explainable artificial intelligence—implications
1. Society 1.0 to 5.0—An introduction
2. Blockchain and IoT integration for society 5.0
3. XAI and machine learning methods
4. Model-agnostic methods
5. Society 5.0 and XAI—Implications
6. Conclusion and future scope
Chapter 4. Need for explainable artificial intelligence ethnic decision-making in society 5.0
1. Introduction
2. Literature review
3. Research methodology
4. Analysis and findings through bibliometric analysis
5. Conclusions and recommendations
Section II. XAI techniques and applications
Chapter 5. Xplainable AI for deep learning model on PCOD analysis
1. Introduction
2. Background and literature survey
3. Materials and methods
4. Proposed methodology
5. Experimental results
6. Conclusion
Chapter 6. DSS for blockchain technology using explainable multiagent system
1. Introduction
2. Literature survey
3. Agent designer
4. Combining of MAS with BCT
5. Real-world case studies
6. Conclusion
Chapter 7. Decoding product sentiments: Unraveling reviews with explainable analysis using Hugging-Face transformer
1. Introduction on explainable AI
2. Natural language processing
3. Review of literature
4. Explainable sentiment analysis
5. Proposed methodology
6. Experimentation, results and analysis
7. Conclusions and future scope
Section III. XAI in society 5.0
Chapter 8. XAI in human motion recognition and analysis for envisioning society: A systematic review
1. Introduction
2. Applications of human motion recognition and analysis in industry 5.0
3. Role of AI in human motion recognition and analysis
4. Existing systems and need of XAI in human motion recognition and analysis
5. Research scope in human motion recognition and analysis
6. Challenges of human motion recognition and analysis in industry 5.0
7. Conclusion and future scope
Chapter 9. Envisioning toward modernization of society 5.0—A prospective glimpse on status, opportunities, and challenges with XAI
1. Introduction
2. Theoretical background and studies
3. Methodology
4. Discussion
5. Conclusion and future scope
Chapter 10. XAI for Society 5.0: Requirements, opportunities, and challenges in the current context
1. Introduction
2. AI system and its applications
3. Explainable artificial intelligence—an interface of Society 5.0
4. Case studies of the application of XAI in the Banking sector, healthcare sector and smart city development
5. Direction for research
6. Conclusion and future research
Chapter 11. Role of XAI in building a super smart society 5.0
1. Introduction
2. XAI for smart healthcare system
3. Employing XAI for infrastructure development
4. XAI and IOT-based smart cities
5. Smart transportation and traffic management with XAI
6. Industry 5.0 using XAI—issues and challenges
7. Enhancement of cyber security in Society 5.0 using XAI
8. Applying XAI for building smart economy
9. Conclusion and future scope
Chapter 12. XAI in Society 5.0 through the lens of marketing and HRM
1. Introduction
2. Backgroud study/literature review
3. Methodology
4. Discussion
5. Conclusion and future scope
Chapter 13. Security and privacy aspects in intelligence systems through blockchain and explainable AI
1. Introduction
2. Literature review
3. Methodology
4. Results and discussion
5. Conclusion
Index

Fadi Al-Turjman

Dr. Fadi Al-Turjman is the Associate Dean for Research and the Founding Director of the International Research Center for AI and IoT at Near East University, Nicosia, Turkey. He received his Ph.D. in Computer Science from Queen’s University, Canada. Dr. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks. His publication history spans over 400 SCI/E publications, and more than 11,000 citations, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. Dr. Al-Turjman received several recognitions and best papers’ awards at top international conferences, including Best Research Paper Award from Elsevier Computer Communications Journal. Dr. Al-Turjman has led a number of international symposia and workshops for flagship communication society conferences. Currently, he serves as book series editor and lead guest/associate editor for several top tier journals, including IEEE Communications Surveys and Tutorials and Elsevier Sustainable Cities and Society, in addition to organizing international conferences and symposiums on leading-edge research topics in AI and IoT.

Affiliations and expertise

Associate Dean and Founding Director, Artificial Intelligence Department, Near East University, Nicosia, Turkey.

Anand Nayyar

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, Da Nang, Vietnam. He has published 100+ research papers in various high-impact journals. He has authored, co-authored, and edited 30+ books. He has 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing. Awarded 30+ Awards for Teaching and Research, including Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching. He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”.

Affiliations and expertise

School of Computer Science, Duy Tan University

Mohd Naved

Dr. Mohd Naved is a machine learning consultant and researcher currently teaching in Amity University, Noida, India, for various degree programs in Analytics and Machine Learning. He is actively engaged in academic research on various topics in management as well as on 21st century technologies. He has published more than 30 research papers in reputed journals. He has 16 patents in AI/ML and actively engages in commercialization of innovative products developed at university level. His interview has been published in various national and international magazines. A former data scientist, he is an alumnus of Delhi University. He holds a PhD from Noida International University.

Affiliations and expertise

Assistant Professor and HoD (Analytics and IB), Jagannath University; Various UG & PG programs, Analytics and Machine Learning Xcelerator Ninja, India

Anuj K. Singh

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.

Affiliations and expertise

Assistant Professor in Department of Computer Science & Engineering at Amity University Haryana, Gurgaon, India.

Muhammad Bilal

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.

Affiliations and expertise

Assistant Professor, Division of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies, Rep. of Korea