Artificial intelligence and the autonomous robots of the Fourth Industrial Revolution will render certain jobs and competences obsolete but will also create new roles, which in turn require new sets of skills. They will also transform how we produce, distribute and consume, as well as how we think. Rather than a linear understanding of evolutionary processes, we will develop a more interactive and circular interpretation. This book offers a unique and holistic perspective on the future of work in the context of industry 4.0. It discusses the globalization of capital markets, how artificial intelligence can help organizations to be more competitive and the new role of leadership in this technological landscape. The author argues that there are four categories of competences, which will be required in order to maintain the relevance of human skills and expertise in the innovation economy. The new jobs that come into being will lend themselves to a particular set of skills. General competences will be necessary for roles involving the 4Cs of communication, creativity, collaboration and change. Specific or STEM competences will be called for across the science, technology, engineering and mathematics sectors. Human competences will lend themselves to positions comprising the SELC framework of social, emotional, leadership and cultural skills. Critical or REVE competences will be in demand for roles embracing reflection, ethics, values and the environment. The book provides a human-centric view of the current technological advancements of artificial intelligence and robotics and offers a positive outlook for human actors seeking continued relevance. It will appeal to scholars and students of the innovation economy, the knowledge society and the coming Fourth Industrial Revolution.

The application of Artificial Intelligence (AI) in the healthcare sector is certain to boost levels of automation and productivity but, paradoxically, it will also increase the availability of “first line competence.” At the same time as demographic trends are affecting demand for health and social care, the technological developments we are seeing make it highly likely that AI will play a decisive role in tackling the challenges our healthcare systems will encounter. This book reveals systemic connections to tackle questions about the potential impact of AI on future challenges in the healthcare sector. Specifically, it develops practical proposals for ways in which AI can be applied to solve these forthcoming issues. It emphasizes the importance of AI in what is known in the literature as human augmentation. The book’s innovative perspective is apparent in the way it challenges conventional wisdom in the context of several pressing questions, such as: • What opportunities and challenges could arise from the application of AI in the healthcare sector? • How can the philosophy of medicine, viewed from a systemic perspective, help us to understand, explain, and resolve some of the future challenges in the healthcare sector? • How could AI affect inclusive employment opportunities for people with disabilities? The book also contains an underlying argument to the effect that the rational approach adopted by economists is perhaps less rational when applied to a healthcare sector that is crying out for more “first line competence.” The primary readership will be academic, but the book will also appeal to policymakers, consultants, HR departments, healthcare stakeholders, and related practitioners.

The innovation economy is the driver for the development of the Fourth Industrial Revolution and consequently, there is a growing focus on innovation in general and technological innovation in particular. In this context, there is much to suggest that it is the triple impact of artificial intelligence, big data and 5G- and 6G networks that will go beyond the limits of existing competence. This book is about the new competence that is emerging in the wake of artificial intelligence and intelligent robots. It explains how these two technologies are completely fundamental to what is known as the Fourth Industrial Revolution. The author argues that artificial intelligence will promote automation, which will reduce wages rather than increase unemployment statistics. The book posits that when the utility value of technology and the rate of dissemination of technology is high, people who have the necessary competence will both future-proof their jobs in the labour market and also be among the highest-paid workers in the new economy that is emerging from the innovation economy. Further, by making education more compatible with new technology will enable graduates to access more secure and better paid jobs, and all behavioural fields related to new technology will flourish because they can be used in many contexts to steer people’s behaviour in certain directions through the integration of big data and artificial intelligence. The book employs the following scholarly methods: conceptual generalization, scenario-based thinking and historical economic methodology, thus it will be of particular benefit to academic scholars, researchers and graduate students who are concerned with the impact of the fourth industrial revolution on the labour market.

"Artificial intelligence and the autonomous robots of the Fourth Industrial Revolution will render certain jobs and competences obsolete, but will also create new roles, which in turn require new sets of skills. They will also transform how we produce, distribute and consume, as well as, how we think. Rather than a linear understanding of evolutionary processes, we will develop a more interactive and circular interpretation. This book offers a unique and holistic perspective on the future of work in the context of industry 4.0. It discusses the globalization of capital markets; how artificial intelligence can help organizations to be more competitive; and the new role of leadership in this technological landscape. The author argues that there are four categories of competences, which will be required in order to maintain the relevance of human skills and expertise in the innovation economy. The new jobs that come into being will lend themselves to a particular set of skills. General competences will be necessary for roles involving the 4Cs of communication, creativity, collaboration and change. Specific or STEM competences will be called for across the science, technology, engineering and maths sectors. Human competences will lend themselves to positions comprising the SELC framework of social, emotional, leadership and cultural skills. Critical or REVE competences will be in demand for roles embracing reflection, ethics, values and the environment. The book provides a human-centric view of the current technological advancements of Artificial Intelligence and Robotics and offers a positive outlook for human actors seeking continued relevance. The book will appeal to scholars and students of the innovation economy, the knowledge society and the coming fourth industrial revolution"--

The emerging conflict between the US and China has an inherent tendency towards a development of deglobalization. It is the historical prerequisites for this deglobalization that are examined in this book. These assumptions are largely based on what is termed the second wave of globalization, based on increasing technological competition between the US and China, as well as China's expansion along the New Silk Road. In this book, the author makes a distinction between the Old Globalization and the New Globalization. The Old Globalization was characterized by competition over costs in general and wage costs in particular, while the New Globalization is categorized by new competencies and skills, especially technological capabilities and technological innovations. The second wave, which is driven by technological innovations, lays the foundation for a counter-strategy on the part of the US to stem the Chinese technological expansion. It is this new strategy that confines the second wave of globalization from China and lays the foundation for deglobalization. The book analyses US-China relations from a fresh perspective, namely a systemic thinking approach. The focus is the emerging innovation economy, which leads to tension and deglobalization. The book is grounded in evolutionary economics and uses conceptual generalization in its descriptions, analysis, theoretical reflections, and real-world cases. The key message is that the economy of the future will be characterized by coordinated wave movements: economic growth mainly controlled by private capital alternating with economic downturns that necessitate collective solutions and government interventions.The book offers policy suggestions, which include promoting effective macroeconomic policies, and extending microeconomic cooperation schemes, related to the innovation economy.

Proceedings of the 10th International Conference on Human Interaction and Emerging Technologies, IHIET 2023, August 22-24, 2023, Université Côte d'Azur, Nice, France.

Artificial Intelligence (AI) is rapidly advancing in areas such as pattern detection, classification, and prediction, which were long thought to be the exclusive realm of humans. These developments are triggering excitement about the potential of AI but are also raising concerns about possible risks. The versatility of AI and its speed of development have led to a wide range of applications, both in personal and professional environments. The most dramatic effects are, however, in the world of work. AI is impacting job loss and employability and causing a transformation of tasks in a range of occupations and sectors. It is also affecting other aspects of the labor market, such as recruitment, performance monitoring, and dismissal. As such, the development and implementation of AI are raising concerns about the future of work, both in terms of its mere existence and quality, with critical implications for the social fabric as well as future development prospects.

Artificial intelligence (AI) and platforms are closely related. Most investments in AI, especially in critical technologies, are provided by large platforms. This book describes how platforms invest in AI and how AI will impact the next generation of competences, following a twofold approach to do so: on the one hand, the book seeks to understand how platforms for investment in intangibles and AI are organized, but on the other hand, it provides a framework to describe how AI will change jobs and competences in the future. Moreover, the book addresses five main themes: 1. platforms, platformization, and the foundations of their business models; 2. artificial intelligence, technological tendencies, and the policy agenda; 3. artificial intelligence, productivity, and the next generation of competences; 4. artificial intelligence, productivity, and the digital divide; 5. artificial intelligence, ethics, and the post-truth society. The book’s content is mostly based on papers presented at the last two installments of the World Conference on Intellectual Capital for Communities. It brings together the views of leading scholars and experts on how artificial intelligence and platformization will impact competences in the near future.

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