This book explores the need for innovative approaches to administrative digitization, leveraging technologies such as AI, blockchain, and smart processes to meet citizens' expectations, with a particular focus on the role of Chief Digital Officers (CDOs) in driving successful digital transformations within public institutions.  Administrative digitization requires fresh inputs to match the leaps seen in the industry sector, utilizing technologies like AI-driven automation, blockchain transactions, and security tools. Smart process solutions are seen as transformative in upholding service standards aligned with citizens' state expectations. Unlike commercial companies, collaboration offers those overseeing public sector digitization enhanced scaling opportunities by drawing from experiences in other regions and metropolises, directly applicable and reusable. In the public realm, digital strategies mirror legal and social conditions, necessitating adjustments and adaptation options for Chief Digital Officers as they lead digital transformation. Methodological focal points in task structure redesign, process optimization, and motivating actors yield diverse action areas for the CDO's new role in public institutions.

This book provides a comprehensive perspective on issues related to the trustworthiness of information in the emerging "Smart City." Interrelated topics associated with the veracity of information are presented and discussed by authors with authoritative perspectives from multiple fields. The focus on security, veracity, and trustworthiness of information, data, societal structure and related topics in connected cities is timely, important, and uniquely presented. The authors cover issues related to the proliferation of disinformation and the mechanics of trust in modern society. Topical issues include trust in technologies, such as the use of machine learning (ML) and artificial intelligence (AI), the importance of encryption and cybersecurity, and the value of protecting of critical infrastructure. Structural issues include legal and governmental institutions, including the basis and importance of these fundamental components of society. Functional issues also include issues of societal trust related to healthcare, medical practitioners, and the dependence on reliability of scientific results.

This thought-provoking book follows the EU's journey into the digital age, explaining how it uses legislation and policy to tackle challenges such as the abuse of market power by Big Tech companies and the spread of hate speech and disinformation. Werner Stengg draws on his extensive experience in shaping digital policy to expertly analyse the EU's ambitious legislative and innovation programme, which focuses on human rights and prioritises trustworthy, transparent, and accountable usage of digital technologies. Alongside this examination of legislation and policy, Stengg also outlines the EU's major investment agenda into the digital infrastructures required to become a global player in our data-driven and AI-powered economy. Ultimately, the book highlights that innovations in the digital sphere are essential not only for the global competitiveness of European companies, but also for Europe to safeguard its resilience, autonomy, and technological sovereignty at a time of mounting geopolitical tensions.

his book examines digital transformation in the public sector. Drawing on case studies from around Europe, it identifies management practices that facilitate or hinder the implementation of digital transformation in various contexts and at different levels of government. Chapters consider how digital technologies are being used to improve public service delivery, how public institutions are employing AI, and the potential benefits for organizations and citizens. They also assess the obstacles to digital transformation, including budget constraints, legislation, and insufficient expertise. Providing nuanced insights from real-world projects that have sought to usher public sector institutions into the digital age, the book highlights what has worked well, what has not worked, and why. In doing so, it offers lessons for future projects and acts as a comprehensive guide offering actionable insights for academics and practitioners.

This edited volume analyzes the ethics of innovations in the public sector in Europe. The book presents a theoretical analysis of empirical cases, deepening the understanding of innovation in public administration by identifying common processes across various local contexts. It also delves into the study of the European Union's ethics and values, exploring their impact on innovation at both European and local levels. Additionally, the book features comprehensive case studies, encompassing different sectors, professions, and statuses within public administration, providing a multifaceted examination of innovation's complexities. By considering multiple perspectives, including those of citizens, politicians, managers, trade unions, NGOs, and political leaders, the book offers a holistic understanding of the ethical challenges associated with innovation in public administration. It also addresses intrapreneurship, successful initiatives, struggles and resistance to change, training for elected representatives, and the integration of an ethical approach into local authority communications.

This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence ('AI') and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics - and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As thedebate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI.

This book focuses on facial recognition technology (FRT) and sheds light on previously unexplored aspects that involve systematic legal issues concerning its regulation, the protection of rights and freedoms, the preservation of democracy and the rule of law. FRT employs cutting-edge AI systems capable of processing biometric data for identification, verification and categorization purposes. Although there have been huge strides in the research and development of these systems in the last few decades and computer scientists are following and supporting this evolution, legal scholars have only been investigating the implications for fundamental rights for the past few years. The introduction of new regulations (especially the European Union AI Act) have turned the debate on its head, putting FRT in the spotlight. However, there are still certain aspects that have not yet been explored but will be crucial in the coming years for the democratic, social, technical, ethical, and legal acceptance of this technology. The contributions gathered here address various legal approaches to FRT that are emerging at the global level. In this regard, they particularly examine how the distinction between private and public entities' use of - and consequently also their respective rules on - FRT is becoming increasingly unclear, as some of the latest cases show. Other chapters highlight some of the most challenging and controversial aspects of deploying FRT for specific purposes, such as emotion recognition, and in highly complex contexts, such as smart cities.

This book brings together contributions from leading scholars in law and technology, analysing the privacy issues raised by new data-driven technologies. Highlighting the challenges that technology poses to existing European Union (EU) data protection laws, the book assesses whether current legal frameworks are fit for purpose, while maintaining a balance between supporting innovation and the protection of individual’s privacy. Data privacy issues range from targeted advertising and facial recognition, systems based on artificial intelligence (AI) and blockchain, and machine-to-machine (M2M) communication, to technologies that enable the detection of emotions and personal care robots.

In this textbook readers will acquire knowledge of problem-solving and learning to enhance both efficiency and the experience of service users in rapidly changing service environments, that can create new service models. Emphasizing that, above all else, individuals are at the centre of services, the book goes deeply into the nature of public services and their logic-of-practice. By applying learning and problem-solving approaches, the reader gains practical capabilities in addition to an appreciation of the latest research literature. Following a multidisciplinary, international approach, the book suggests a new typology of problem-framing and presents many examples of how new service solutions can be created in any public service context.   The book offers a conceptual toolkit to understand and analyse dynamically changing services and the application of new technologies. Topics covered include pressing issues surrounding public services, such as e-technology, digitalisation, e-services, artificial intelligence, entrepreneurialism, sustainability, climate, inequality, developing economies, and smart cities. Chapters follow a similar structure: issue, problems, what we know, learning framework, worked example, theory and practice conclusions, as well as teacher and learner notes.

In today's rapidly changing media landscape, Public Service Media (PSM) stands as a beacon of trust, credibility, and quality. As technological advancements reshape communication, PSM must adapt to new formats while tackling the challenges and threats that arise. This edited volume explores the vital role of PSM in an evolving media ecosystem, focusing on reinforcing trust and highlighting its indispensable features. Divided into three distinct sections, this book offers a comprehensive exploration of the challenges and discussions surrounding PSM. The first section delves into the corporate culture, governance systems, and public service values that define PSM as a trustworthy institution. The second section focuses on innovation, collaboration, and new approaches within the digital sphere. The final section sheds light on the impact of technology on PSM, including AI, algorithm-based technologies, and the game-changing potential of 5G. Drawing on the expertise of 40 academics from 20 universities across a dozen countries, this volume presents a proactive and confidence-driven perspective, reaffirming the purpose and legitimacy of PSM in a democratic, informed society.

This pioneering Research Handbook on Public Management and Artificial Intelligenceprovides a comprehensive overview of the potentials, challenges, and governance principles of AI in a public management context. Multidisciplinary in approach, it draws on a variety of jurisdictional perspectives and expertly analyses key topics relating to this socio-technical phenomenon. Showcasing contributions by a collection of eminent scholars from across the globe, this Research Handbook presents cutting-edge research on AI in public management. Organised into three parts corresponding with distinct foci of research, it explores the adoption and implementation of AI in public management settings, presents specific case studies and examples of AI in the public sector, and outlines future trends and directions in the evolution of AI adoption and use in public management.

This book provides a theoretical definition, a precise measurement system, and best practice examples for the implementation of sustainable corporate governance. It includes theoretical foundations based on stakeholder and institutional theories from different environments and contexts, such as developed and developing economies, large publicly traded companies and SMEs, and family businesses.

This book provides a precise portrayal of the current trends and future perspectives of e-Government. It outlines new approaches that optimize public services across diverse sectors. Going beyond traditional boundaries, it offers mathematical models for public services supported by convincing case studies. This book significantly enhances various government services, such as education, healthcare, safety, security, and culture. It also strongly emphasizes safeguarding citizens' personal data, ensuring privacy, and obtaining explicit consent. Tailored for students and academics, the book is an invaluable reference for teaching graduate courses in e-Government, Process Modelling, or Artificial Intelligence. Its impact extends beyond the classroom; civil servants from all domains can find practical insights to navigate the ongoing modernization of public services. Even citizens curious about the transformation in their public services can find this book enlightening. Researchers working in the area of e-Governance can use this book to discover the recent developments in e-Government.

Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others. The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science.

This book provides the latest research on zero carbon industry and its practical implications for eco-innovation and environmental sustainability for businesses in current scenario. In a zero-carbon industry, there would be profound, sometimes disruptive, changes in our economy compared to our current one. As the world approaches zero carbon industry by 2050, economic output will shift progressively (and permanently) toward those goods and services that do not emit greenhouse gases. Changes in these dynamics would ripple along entire value chains, transforming industries. Creating a zero-carbon industry will require fundamental changes in both our economies and societies. Taking eco-innovation and environmental sustainability seriously will be crucial to businesses, and companies are increasingly keen to signal this commitment. This book aims to illustrate a detailed exploration of the complex and interconnected domains of zero carbon industry, eco-innovation, and environmental sustainability. In addition to combining the academic expertise of emerging and established scholars from different academic fields, this book provides an integrated understanding of the topic on zero carbon emissions, eco-innovation, and environmental sustainability from a broader perspective by combining the work of established and emerging scholars. There is a need to fundamentally transform the zero carbon industry, eco-innovation ecosystem in order to achieve sustainability through the implementation of Industry 4.0 technologies such as artificial intelligence, Internet of things, blockchain, and cloud technologies.