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
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