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. It 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 in this book. It 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 of the book.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
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
Table of Contents
Section 1: Foundations of XAI 1. The Need for XAI: Fair and Ethical Decision-Making 2. History and Current Development Trends in XAI 3. Exploratory Data Analysis and Visualization 4. Explainability in trust development 5. Tools and techniques to promote XAI
Section 2: XAI for Society 5.0 6. Role of XAI in Society 5.0 7. XAI for Society 5.0: Requirements, Opportunities and Challenges 8. Intelligent Systems for Transformation of Society 4.0 to Society 5.0 9. Good Explanation for Society 5.0 10. Explainable Intelligent Agents for Society 5.0 11. Societal implications of XAI
Section 3: Technicalities of XAI in Society 5.0 12. XAI Enabling Fairness, Accountability and Transparency in Society 5.0 13. Interpretability and Comprehensibility in Society 5.0 using XAI 14. Data Fusion with XAI for Society 5.0 15. Interpretable Machine Learning and Deep Learning Models for Society 5.0 16. XAI Based Fuzzy, Expert, and Hybrid Intelligent Systems for Society 5.0 17. Intrinsic Explainable Models for -Society 5.0 18. XAI based Privacy and Enhancement Technologies (PET) for Society 5.0 19. Responsible AI for Society 5.0
Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks. His publication spans over 250 publications in journals, conferences, patents, and books, in addition to numerous keynotes and plenary talks at flagship venues. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey.
Affiliations and Expertise
Professor of Computer Engineering, Antalya Bilim University, Turkey
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
Lecturer, Researcher and Scientist, Graduate School, Duy Tan University, Da Nang, Vietnam
Dr. Mohd Naved is a machine learning consultant and academician, currently teaching as Assistant Professor and HoD (Analytics & IB) in Jagannath University in collaboration with Xcelerator Ninja (India) for various UG & PG programs in Analytics and Machine Learning. He is a former data scientist and an alumnus of Delhi University. He holds a PhD from Noida International University. He is actively engaged in academic research on various topics in artificial intelligences and 21st century technologies. His interviews have been published in various national and international magazines.
Affiliations and Expertise
Assistant Professor and HoD (Analytics and IB), Jagannath University; Various UG & PG programs, Analytics and Machine Learning Xcelerator Ninja, India
Dr. Anuj Kumar Singh is working as Assistant Professor in Department of Computer Science & Engineering at Amity University Haryana, Gurgaon, India. He has more than 17 years of teaching experience in technical education. He holds a Ph.D in the field of Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. He passed M.Tech degree with First Distinction from Panjab University, Chandigarh and B.Tech degree with First Honours from U.P.T.U Lucknow in Computer Science and Engineering. In addition to these, he has also qualified UGC NET. Having published more than 30 research papers in journals and conferences including Scopus and SCIE, he has also authored one book and edited two. He has also filed three patents. His areas of specialization include Intelligent Systems, Cryptography, Network and Information Security, Blockchain Technology, and Algorithm Design.
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