XAI Based Intelligent Systems for Society 5.0
- 1st Edition - November 29, 2023
- Imprint: Elsevier
- 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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Request a sales quoteXAI 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
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
Policy-makers, end users, management, evaluators, and others implementing XAI systems; instructors who need an overview of XAI to help students learn the concepts
- 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
- Edition: 1
- Published: November 29, 2023
- Imprint: Elsevier
- No. of pages: 700
- Language: English
- Paperback ISBN: 9780323953153
- eBook ISBN: 9780323957847
FA
Fadi Al-Turjman
Dr. Fadi Al-Turjman is the Associate Dean for Research Center for AI and IoT, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, 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, Research Center for AI and IoT, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, TurkeyAN
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, 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.
Affiliations and expertise
Professor, Scientist, Vice-Chairman (Research) and Director at IoT and Intelligent Systems Lab, Duy Tan University, VietnamMN
Mohd Naved
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.
Affiliations and expertise
Associate Professor, Jaipuria Institute of Management, IndiaAS
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.MB
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 KoreaRead XAI Based Intelligent Systems for Society 5.0 on ScienceDirect