This book is a practical guide to using artificial intelligence with motivated employees in companies and organizations. You will learn what the prerequisites are for people to look forward to productive collaboration with "intelligent machines". Because this is the only way to leverage the full potential of AI. To this end, you will receive an overview of how and where AI can be used in companies and how to identify the right areas of application for AI in your company. The main issue here is the following: which tasks will be taken over by AI in the future and which should continue to be performed by employees. These decisions change processes and tasks and require practical change management and motivation. In this book, you will learn how to motivate and inspire people for these new tasks, so that the steps towards using AI in the work environment can succeed in the best possible way.

The rapid expansion of artificial intelligence is unparalleled, establishing it as a ubiquitous element in workplaces and our daily lives. The era when AI was exclusively associated with robots and intricate algorithms for the technically proficient is over. This marks a significant paradigm shift, with profound implications and changes regarding the world we live in. This book proposes an analysis of this transformation, and does so by bringing together the reflections of high-level academics and research activists from across the world. It adopts a multidisciplinary approach, incorporates a diversity of geographical and cultural points of view and focuses on the deep and often invisible implications of AI for the labour market and society as a whole. Thematically speaking, it addresses AI’s legal, societal, global, environmental, technological and labour aspects. The contributing authors show how contemporary AI is gradually reshaping society. They also highlight the need to understand the dynamics of technological convergence and remind us of the critical role played by humans, who remain present at every stage of AI’s lifecycle and value chain. Prevention and precaution are portrayed as crucial components of the critical thinking approach we need to adopt towards AI. The book also examines the power dynamics of technological evolution and governance, explores AI’s relationship with the environment and tackles the crucial issue of AI’s impact on the labour market, working conditions and labour standards. Its fundamental goal is to prompt readers to transcend the narrow disciplinary perspectives associated with the silos within which we tend to work, introducing a range of novel and diverse academic viewpoints on AI and its challenges.

Artificial intelligence is changing the world of work. How can HR professionals understand the variety of opportunities AI has created for the HR function and how best to implement these in their organization? This book provides the answers. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, artificial intelligence can add value throughout the work of HR professionals. Artificial Intelligence for HR demonstrates how to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Alongside coverage of employee engagement and recruitment, this second edition features new material on applications of AI for virtual work, reskilling and data integrity. Packed with practical advice, research and new and updated case studies from global organizations including Uber, IBM and Unilever, the second edition of Artificial Intelligence for HR will equip HR professionals with the knowledge they need to improve people operational efficiencies, and allow AI solutions to become enhancements for driving business success.

Augmented Education in the Global Age: Artificial Intelligence and the Future of Learning and Work is an edited collection that explores the social impact of Artificial Intelligence over the coming decades, specifically how this emerging technology will transform and disrupt our contemporary institutions. Chapters in this book discuss the history of technological revolutions and consider the anxieties and social challenges of lost occupations, as well as the evolution of new industries overlapping robotics, biotechnology, space exploration, and clean energy. Chapter authors unpack the nature of augmented education, from revamping curriculum and personalizing education, to redesigning workplace learning for an algorithmic era. Ultimately the book discusses policy and planning for an augmented future, arguing that work and learning are undergoing a metamorphosis around creativity and innovation amid a new global era and the race against automating technologies. Bringing together expert perspectives from around the world, this exciting, informative collection of research and analysis helps educators, policymakers and analysts navigate the future of work and learning amid rapid and accelerating technological change.

This book presents original research articles addressing various aspects of artificial intelligence as applied to economics, law, management and optimization. The topics discussed include economics, policies, finance, law, resource allocation strategies and information technology.   Combining the input of contributing professors and researchers from Italian and international universities, the book will be of interest to students, researchers and practitioners, as well as members of the general public interested in the economic and policy implications of artificial intelligence. 

Die Strukturen der industriell geprägten Arbeitsgesellschaft werden durch den zunehmenden Einsatz automatisierter und digitaler Technologien sowie den Ausbau der Infrastruktur des Internets maßgeblich verändert. Gleichzeitig lässt sich eine intensive Flexibilisierung vertrauter Strukturen betriebszentrierter Organisationsformen von Beschäftigung beobachten. Ina Krause beschreibt einzelne Dynamiken auf der gesellschaftlichen Mesoebene und trägt damit zur Debatte über die nachhaltige Gestaltung der digitalen und virtuellen Arbeitsgesellschaft in Deutschland bei.

This Open Access book brings the experiences of automation as part of quotidian life into focus. It asks how, where and when automated technologies and systems are emerging in everyday life across different global regions? What are their likely impacts in the present and future? How do engineers, policy makers, industry stakeholders and designers envisage artificial intelligence (AI) and automated decision-making (ADM) as solutions to individual and societal problems? How do these future visions compare with the everyday realities, power relations and social inequalities in which AI and ADM are experienced? What do people know about automation and what are their experiences of engaging with 'actually existing' AI and ADM technologies? An international team of leading scholars bring together research developed across anthropology, sociology, media and communication studies and ethnology, which shows how by rehumanising automation, we can gain deeper understandings of its societal impacts.

Der Einsatz von künstlicher Intelligenz im Gesundheitsbereich verspricht besonders großen Nutzen durch eine bessere Versorgung sowie effizientere Abläufe und bietet damit letztlich auch ökonomische Vorteile. Dem stehen unter anderem Befürchtungen entgegen, dass sich durch den Einsatz von künstlicher Intelligenz das Arzt-Patienten-Verhältnis verändern könnte, Arbeitsplätze gefährdet seien oder die Ökonomisierung des Gesundheitswesens einen weiteren Schub erfahren könnte. Zuweilen wird die Debatte um diese Technologie, zumal in der Öffentlichkeit, emotional und fern sachlicher Argumente geführt. Die Autorinnen und Autoren untersuchen die Geschichte des KI-Einsatzes in der Medizin, deren öffentliche Wahrnehmung, Governance der KI, die Möglichkeiten und Grenzen der Technik sowie Einsatzgebiete, die bisher noch nicht oder nur wenig im Fokus der Aufmerksamkeit waren. Dabei erweist sich die KI als leistungsfähiges Werkzeug, das zahlreiche ethische und soziale Fragen aufwirft, die bei der Einführung anderer Technologien bereits gestellt wurden; allerdings gibt es auch neue Herausforderungen, denen sich Professionen, Politik und Gesellschaft stellen müssen.

This open access book will give insights into global issues of work and work systems design from a wide range of perspectives. Topics like the impact of AI in the workplace as well as design for digital sovereignty at the workplace or foresight processes for digital work are covered. Practical cases, empirical results and theoretical considerations are not only taken from Germany and Europe, but also from Southeast Asia, South Africa, Middle America, and Australia. The book intends to expand the so far national view on the aspects of digital work (e.g. like in Ernst Hartmann's immensely successful work "Zukunft der Arbeit in Industrie 4.0") into an international context - thus showing not only common challenges, but also offering suggestions, best practice examples or thoughts from different global regions.

Robots and artificial intelligence (AI) are powerful forces that will likely have large impacts on the size, direction, and composition of international trade flows. This book discusses how industrial robots, automation, and AI affect international growth, trade, productivity, employment, wages, and welfare. The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises. This book will be a useful reference for those researching on robots, automation, AI and their economic impacts on trade, industry, and employment.

This book is co-authored by European Commission STAR research consortium members and provides a review of technologies, techniques and systems for trusted, ethical, and secure AI in manufacturing. The different chapters of the book cover systems and technologies for industrial data reliability, responsible and transparent artificial intelligence systems, human centered manufacturing systems such as human-centred digital twins, cyber-defence in AI systems, simulated reality systems, human robot collaboration systems, as well as automated mobile robots for manufacturing environments. A variety of cutting-edge AI technologies are employed by these systems including deep neural networks, reinforcement learning systems, and explainable artificial intelligence systems. Furthermore, relevant standards and applicable regulations are discussed. Beyond reviewing state of the art standards and technologies, the book illustrates how the STAR research goes beyond the state of the art, towards enabling and showcasing human-centred technologies in production lines. Emphasis is put on dynamic human in the loop scenarios, where ethical, transparent, and trusted AI systems co-exist with human workers. The book is made available as an open access publication, which could make it broadly and freely available to the AI and smart manufacturing communities.

In ten years, we will take working with artificial intelligence (AI) more for granted than using cell phones today. 78 recognized experts from practice and research provide deep insights and outlooks regarding the influence of AI on everyday working life in 2030, explaining with practical tips how you can prepare for this development. The 41 concise articles cover a broad spectrum in the area examined in each case. Thanks to a standardized structure, they include a summary of the status quo, concrete examples, future expectations, an overview of challenges and possible solutions, and practical tips. The volume begins with societal and ethical issues before discussing legal considerations for employers and HR professionals, as well as the administration of justice. The other chapters examine the impact of AI on the world of work in 2030 in the sectors of business, industry, mobility and logistics, medicine and pharmaceuticals, and (further) education.