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.

This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields.

Les progrès fulgurants de l’intelligence artificielle et son déploiement à grande échelle, en particulier dans les services publics et les administrations, fascinent et inquiètent les juristes et les citoyens, qui redoutent, non sans raison, les atteintes aux droits et libertés, voire la disparition de l’État de droit démocratique. Le lecteur trouvera dans l’ouvrage les règles qui encadrent l’intelligence artificielle ainsi que les affaires judiciaires de plus en plus nombreuses auxquelles donnent lieu certaines de ses applications. Des cas réels lui seront présentés dans les domaines de la vidéosurveillance, du crédit social, de la lutte contre les épidémies (au départ de la crise de la Covid-19), de la gestion des phénomènes migratoires, de la chasse aux fraudeurs et de la justice pénale, ainsi que des villes intelligentes (smart cities) qui émergent comme nouvelle organisation politique. Nous examinons également les modèles de langage du type ChatGPT et leurs effets concrets sur les métiers du droit.

Intelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner.  This book is a compilation that aims to serve researchers and practitioners in related fields by providing a timely dissemination of recent progress in the areas of autonomous mobility and robotics. The contents of this book are based on a collection of papers presented at the 18th International Conference on Intelligent Autonomous Systems (IAS18 2023), held at the Suwon Convention Center in Suwon, Korea. The conference took place fully in person from July 4 to 7, 2023, with the theme "Impact and Effect of AI on Intelligent Autonomous Systems." It encompassed discussions on theories, applications, and creative innovations in intelligent autonomous systems, covering topics such as autonomous vehicles, intelligent agents, smart sensors and actuators, smart haptics, human-machine interaction, digital twin, digital health, and metaverse, VR, AR, or MR.

Intelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner    This book is a compilation that aims to serve researchers and practitioners in related fields by providing a timely dissemination of recent progress in the areas of autonomous mobility and robotics. The contents of this book are based on a collection of papers presented at the 18th International Conference on Intelligent Autonomous Systems (IAS18 2023), held at the Suwon Convention Center in Suwon, Korea. The conference took place fully in person from July 4 to 7, 2023, with the theme "Impact and Effect of AI on Intelligent Autonomous Systems." It encompassed discussions on theories, applications, and creative innovations in intelligent autonomous systems, covering topics such as autonomous vehicles, intelligent agents, smart sensors and actuators, smart haptics, human-machine interaction, digital twin, digital health, and metaverse, VR, AR, or MR.

This open access book provides an overview about results of the InSecTT project. Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT--Intelligent Secure Trustable Things, a pan-European effort with over 50 key partners from 12 countries (EU and Turkey), provides intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT creates trust in AI-based intelligent systems and solutions as a major part of the AIoT. InSecTT fosters cooperation between big industrial players from various domains, a number of highly innovative SMEs distributed all over Europe and cutting-edge research organizations and universities. The project features a big variety of industry-driven use cases embedded into various application domains where Europe is in a leading position, i.e., smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health.

This book explores fundamental and advanced concepts related to the AI-enabled Edge Technology paradigm, also known as Edge Intelligence, within the framework of the Internet of Things (IoT). Expanding the application of Edge computing is increasingly necessary. This can involve exploring automated, intelligent computational learning theorems, and ANN-oriented, trustworthy machine learning perspectives to enhance computational intelligence. The book functions as a valuable resource for professionals in the sector and also acts as a comprehensive learning tool for newcomers in the field of AI-enabled Edge Technologies and their applications, covering both fundamental and advanced concepts. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT edge-cloud ecosystem and to implement cyber-physical pervasive infrastructure solutions.

This book--Mind, Body, and Digital Brains--focuses on both theoretical and empirical issues and joins contributions from different disciplines, concepts, and sensibilities, bringing together scholars from fields that at first glance may appear different--Neuroscience and Cognitive Neuroscience; Robotics, Computer Science, Deep Learning, and Information Processing Systems; Education, Philosophy, Law, and Psychology. All these research fields are held together by the very object to be discussed: a broad, articulate, and polyphonic reflection on the status of theories and fields of application of Digital Technologies and Artificial Intelligence, seen from the perspective of the digital mind, digital body, and digital brain. Scientific and humanistic issues will be considered through an interdisciplinary point of view, with the purpose of deepening emerging trends about various disciplines. This book offers a framework for different perspectives and, at the same time, a platform for discussion aimed not only at experts, but also at a non-specialist public interested in the digital revolution.

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. Furthermore, the papers focus on legal issues stemming from the most recent proposals at the EU level, namely those regarding AI and cybersecurity.

This handbook focuses on new threats to psychological security that are posed by the malicious use of AI and how it can be used to counteract such threats. Studies on the malicious use of AI through deepfakes, agenda setting, sentiment analysis and affective computing and so forth, provide a visual representation of the various forms and methods of malicious influence on the human psyche, and through this on the political, economic, cultural processes, the activities of state and non-state institutions. Separate chapters examine the malicious use of AI in geopolitical confrontation, political campaigns, strategic deception, damage to corporate reputation, and activities of extremist and terrorist organizations.

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 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.

Providing a high level of autonomy for a human-machine team requires assumptions that address behavior and mutual trust. The performance of a human-machine team is maximized when the partnership provides mutual benefits that satisfy design rationales, balance of control, and the nature of autonomy. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a "collective intelligence. Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans. Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams focuses on human-machine trust and "assured performance and operation in order to realize the potential of autonomy.

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.

Artificial Intelligence (AI) is widely used in society today. The (mis)use of biased data sets in machine learning applications is well‑known, resulting in discrimination and exclusion of citizens. Another example is the use of non‑transparent algorithms that can’t explain themselves to users, resulting in the AI not being trusted and therefore not being used when it might be beneficial to use it. Responsible Use of AI in Military Systems lays out what is required to develop and use AI in military systems in a responsible manner. Current developments in the emerging field of Responsible AI as applied to military systems in general (not merely weapons systems) are discussed. The book takes a broad and transdisciplinary scope by including contributions from the fields of philosophy, law, human factors, AI, systems engineering, and policy development.

This handbook is an authoritative, comprehensive reference on Internet of Things, written for practitioners, researchers, and students around the world. This book provides a definitive single point of reference material for all those interested to find out information about the basic technologies and approaches that are used to design and deploy IoT applications across a vast variety of different application fields spanning from smart buildings, smart cities, smart factories, smart farming, building automation, connected vehicles, and machine to machine communication. The book is divided into ten parts, each edited by top experts in the field. The parts include: IoT Basics, IoT Hardware and Components, Architecture and Reference Models, IoT Networks, Standards Overview, IoT Security and Privacy, From Data to Knowledge and Intelligence, Application Domains, Testbeds and Deployment, and End-User Engagement.

Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management's awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles.

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.