The artificial intelligence-based framework, algorithms, and applications presented in this book take the perspective of Society 5.0 – a social order supported by innovation in data, information, and knowledge. It showcases current case studies of Society 5.0 in diverse areas such as healthcare, smart cities, and infrastructure. Key Features: Elaborates on the use of big data, cyber-physical systems, robotics, augmented-virtual reality, and cybersecurity as pillars for Society 5.0. Showcases the use of artificial intelligence, architecture, frameworks, and distributed and federated learning structures in Society 5.0. Discusses speech recognition, image classification, robotic process automation, natural language generation, and decision support automation. Elucidates the application of machine learning, deep learning, fuzzy-based systems, and natural language processing. Includes case studies on the application of Society 5.0 aspects in educational, medical, infrastructure, and smart cities. The book is intendended especially for graduate and postgraduate students, and academic researchers in the fields of computer science and engineering, electrical engineering, and information technology.

The past few years have seen artificial intelligence (AI) acting as a force that has been changing industries, societies and also the educational landscape. The objective of this book is to present a holistic view of the different sectors being affected by AI and to list some of the challenges or opportunities that have arisen as part of this fast-moving area. The opening chapter is on the ethically fraught domain of AI technologies such as ChatGPT in educational contexts, noting new frontiers for cheating and suggesting ways that its integrity can be protected during this next industrial push of technological change. Even as AI tools grow in common use, educational institutions must grapple with these complexities to maintain notions of fair play and knowledge building. Further chapters move beyond AI in education to how it can be used as a broad lever for smart and sustainable campuses, cities, and infrastructure. The text in Chapter two centers on the way artificial intelligence (machine learning and deep learning) can steer more insightful urban planning, resource management and development that is sustainable. Chapter three presents a wider coverage of AI applications, including the concept of digital twins in different sectors-healthcare, finance and agriculture-as examples on how digital replicas improve productivity and innovation across various industries under Industry 4.0; 5.0 and Society 5.0. Chater four and five moves to the regulatory issues regarding AI. They talk about the importance of strong policies and the technological, economic, and regulatory obstacles holding back AI from realizing its promise in helping industries become smarter and more sustainable. The book also wraps up with a reflective commentary which presents the real-world applications of AI, future directions and potential research topics in AI, thereby providing readers some suggestions about where we could go regarding the development of AI in the next few years. This is the series of chapters that will show you how transformational AI can be; we hope it awakens the imagination and motivates people to conduct research and innovation in this exciting sector.

Society 5.0 points toward a human-centred approach by the use of modern, advanced technologies and artificial intelligence. This book explores and offers an overview of knowledge management embraced in the current scenario of Society 5.0, shedding light on its importance in a society that is increasingly digital and interconnected. The book enhances current managerial and economic research by offering the “human” side of knowledge management (KM) intertwined with the use of artificial intelligences (AIs). Each chapter explores KM from different perspectives, including entrepreneurship, innovation, marketing, and strategy, in a theoretical and practical way. They include insights from both practitioners and scholars, enriched by practical tools that can be used during laboratories, workshops and tutorials. The book presents evidence on how to manage KM and develop new knowledge in different subjects, with the aim of overcoming conventional KM strategy and show how business and society are connected with “power of subjective human knowledge creation”. Offering both new insights, research and practical guidance, this book will appeal to academics and students of knowledge management as well as digital transformation practitioners looking for ways to transition their organizations from knowledge economy to digital economy.

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. - 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

Years of experience in the area of Product Lifecycle Management (PLM) in industry, research and education form the basis for this overview. The author covers the development from PDM via PLM to SysLM (System Lifecycle Management) in the form commonly used today, which are necessary prerequisites for the sustainable development and implementation of IoT/IoS, Industry 4.0 and Engineering 4.0 concepts. The building blocks and properties of future-proof systems for the successful implementation of the concepts of Engineering 4.0 are thereby dedicated to holistic considerations, which also inform in detail. SysLM functions and processes in mechatronic development and design as well as across the entire product lifecycle - from requirements management to the Digital Twin - are covered as examples. SysLM trends such as low code development, cloud, disruptive business models, and bimodality provide an outlook on future developments. The author dedicates the treatment of the agile SysLM introduction to the implementation in the enterprise. The basics are deepened with examples of a concrete SysLM system.

This Festschrift volume, published in celebration of the 50th Anniversary of Artificial Intelligence, includes 34 refereed papers written by leading researchers in the field of Artificial Intelligence. The papers were carefully selected from the invited lectures given at the 50th Anniversary Summit of AI, held at the Centro Stefano Franscini, Monte Verità, Ascona, Switzerland, July 9-14, 2006. The summit provided a venue for discussions on a broad range of topics.

The rapidly changing world requires constant revisions and adaptations to existing business strategies and models. The emerging industry 5.0 reality is forcing companies to transition to a more sustainable, human-centric, and resilient industry through innovation. This book presents concrete business models and practical frameworks to assist managers in developing and implementing innovative and robust businesses, both globally and locally. This edited collection compiles an experienced team of contributing authors with diverse academic backgrounds who cover a range of topics on different aspects of innovation, from exploring the challenges associated with industry 5.0 to incorporating artificial intelligence in modeling consumer behavior. Based on the experiences and challenges posed by recent economic developments and recovery from the COVID-19 pandemic, the book offers the reader a chance to read case studies from global companies that have successfully implemented new innovations. Thanks to a rigorous research methodology in accordance with principles and standards recognized by the DAC Network, the book provides an actionable road map on how to change one’s innovation strategy techniques in light of changing business conditions. Innovation in the Digital Economy will be of direct interest to scholars and subject matter experts in the field of innovation management. Business leaders and reflective practitioners will find the content relevant and accessible.

The book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy, and innovation from a multidisciplinary perspective. Whoever governs the artificial intelligence will hold the keys to the world and the future. This book explains the growing role of artificial intelligence in our lives and the need to understand its mechanisms. The book presents original research articles addressing various aspects of artificial intelligence applied to economics, law, management, and optimization. The topics discussed include economics, territorial policies, law, resource allocation strategies, information technology, and learning for inclusion. Combining the input of contributing professors and researchers from Italian and other foreign universities, the book is of interest to students, researchers, and practitioners, as well as members of the public in general, interested in the world of the artificial intelligence and economics.

As organizations continue to move towards digital enterprise, the need for digital transformation continues to grow especially due to the COVID-19 pandemic. These impacts will last far into the future, as newer digital technologies continue to be accepted, used, and developed. These digital tools will forever change the face of business and management. However, on the road to digital enterprise transformation there are many successes, difficulties, challenges, and failures. Finding solutions for these issues through strategic thinking and identification of the core issues facing the enterprise is of primary concern. This means modernizing management and strategies around the digital workforce and understanding digital business at various levels. These key areas of digitalization and global challenges, such as those during or derived from the pandemic, are new and unique; They require new knowledge gained from a deep understanding of complex issues that have been examined and the solutions being discovered. Emerging Challenges, Solutions, and Best Practices for Digital Enterprise Transformation explores the key challenges being faced as businesses undergo digital transformation. It provides both solutions and best practices for not only handling and solving these key issues, but for becoming successful in digital enterprise. This includes topics such as security and privacy in technologies, data management, information and communication technologies, and digital marketing, branding, and commerce. This book is ideal for managers, business professionals, government, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.