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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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Request a sales quote- 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
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
- No. of pages: 700
- Language: English
- Edition: 1
- Published: November 29, 2023
- Imprint: Elsevier
- Paperback ISBN: 9780323953153
- eBook ISBN: 9780323957847
FA
Fadi Al-Turjman
AN
Anand Nayyar
MN
Mohd Naved
Dr. Mohd Naved is an Associate Professor in Jaipuria Institute of Management, Noida, India. He has an impressive career spanning over a decade in the fields of Business Analytics, Data Science, and Artificial Intelligence. As an educator, Dr. Naved has consistently demonstrated a commitment to the highest standards of teaching and mentoring, ensuring that his students receive an education that is both cutting-edge and grounded in real-world experience. His dedication to helping students achieve their full potential extends beyond the classroom, as he has been an active participant in the university’s Mentor-Mentee Program, providing guidance and support to over 150 undergraduate and postgraduate students. In addition to his teaching prowess, Dr. Naved has excelled in the areas of education management, research, and curriculum development. He has served on various committees and led initiatives related to curriculum development, faculty recruitment and retention, and accreditation, contributing to the institutions he has worked with becoming centers of academic excellence in their respective fields. He has also successfully led the launch of several BBA/MBA programs, resulting in increased admissions and student satisfaction. As a researcher, Dr. Naved has made significant contributions to the fields of Business Analytics, Data Science, and Artificial Intelligence, with over 80+ publications in reputed scholarly journals and books. His research focuses on the applications of these disciplines in various industries, and he has supervised numerous research projects and dissertations, guiding students to successful outcomes.
AS
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.
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