Juridiske aspekter ved IT

This book presents new cyber-physical security findings for Industry 4.0 using emerging technologies like Artificial Intelligence, Data Mining and Applied Mathematics which are the essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the Data Science more.

This book focuses on the futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools with the models of the data-driven blockchain ecosystem.

The text presents in depth coverage of theoretical concepts, and applications and advances in the field of blockchain technology. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, computer, and information technology.

Focuses on cutting edge research from informatics and complex industrial systems. Covers topics including health informatics, bioinformatics, brain-informatics, genomics and proteomics, data and network security etc. Beginners and advanced researchers in computer science, information sciences, electrical/electronic engineering, and robotics.

AI's impact on human societies is and will be drastic in so many ways. AI is being adopted and implemented around the world, and government and universities are investing in AI studies, research, and development. However, very little research exists about the impact of AI on our lives. This book will address this gap; it will gather reflections from around the world to assess the impact of AI on different aspects of society as well as propose ways in which we can address this impact and the research agendas needed.

Soziale Netzwerke haben eine Fülle von Problemen in Bezug auf die Privatsphäre und den Schutz personenbezogener Daten aufgeworfen. Die Nutzung sozialer Netzwerke ist zu einem zentralen Anliegen von Rechtswissenschaftlern, politischen Entscheidungsträgern und den Betreibern sowie den Nutzern dieser sozialen Netzwerke geworden. Dieses bahnbrechende Buch beleuchtet die Bedeutung des Datenschutzes im Zusammenhang mit den neuen elektronischen Kommunikationstechnologien von heute, da es widersprüchliche Ansprüche zum Schutz der nationalen und internationalen Sicherheit, der Freiheit des Internets und wirtschaftlicher Überlegungen aufzeigt. Auf der Grundlage des intellektuellen Rahmens der New Haven School of Jurisprudence stellt der Autor das geltende Recht zum Schutz der Privatsphäre und zu sozialen Medien in internationaler und vergleichender Perspektive dar und konzentriert sich dabei auf die Vereinigten Staaten, die Europäische Union und ihre Allgemeine Datenschutzverordnung von 2018 sowie auf Deutschland, das Vereinigte Königreich und Lateinamerika. Das Buch bewertet das geltende Recht, erörtert Alternativen und gibt Empfehlungen für eine öffentliche Ordnung der Menschenwürde. Übersetzt mit www.DeepL.com/Translator (kostenlose Version)

This book explains how to apply project management to implement and maintain business continuity. With a major emphasis on building business preparedness plans, it covers the basics of project management, risk management, business continuity, and business preparedness. Presenting a proven approach that firms can follow to become more resilient,

This book provides important new insights into social issues in the rapidly growing field of esports, filling a gap in the literature that has, until now, been dominated by business and management perspectives.Bringing together leading esports experts from Europe, North America, and Australia, the book provides new sociological analyses that define and locate esports in social studies. It explores key issues in esports and in the wider sociology of sport, including gender equity, diversity, cheating and doping, physical and mental health, and issues related to the governance of esports. Presenting new empirical research alongside critical, theoretical perspectives, the book addresses themes such as digitalisation, technology, equality, innovation, and welfare, suggesting directions for future research and highlighting implications for practice and development in the esports industry.This is essential reading for advanced students, researchers, and practitioners working in esports, the sociology of sport, gaming studies, media studies, sociology, or the interaction of ICT and wider society.

The book provides a snapshot of practices used by contemporary designers, researchers, and artists who create objects, spaces, and experiences imbued with data. They draw from a range of domains and traditions, and represent a fascinating, inspiring, and revealing cross-section of contemporary maker and data culture.

Legal Analytics: The Future of Analytics in Law navigates the crisscrossing of intelligent technology and the legal field in building up a new landscape of transformation. Legal automation navigation is multidimensional, wherein it intends to construct streamline communication, approval, and management of legal tasks. The evolving environment of technology has emphasized the need for better automation in the legal field from time to time, although legal scholars took long to embrace information revolution of the legal field. Describes the historical development of law and automation. Analyzes the challenges and opportunities in law and automation. Studies the current research and development in the convergence of law, artificial intelligence, and legal analytics. Explores the recent emerging trends and technologies that are used by various legal systems globally for crime prediction and prevention. Examines the applicability of legal analytics in forensic investigation. Investigates the impact of legal analytics tools and techniques in judicial decision making. Analyzes deep learning techniques and their scope in accelerating legal analytics in developed and developing countries. Provides an in-depth analysis of implementation, challenges, and issues in society related to legal analytics.This book is primarily aimed at graduates and postgraduates in law and technology, computer science, and information technology. Legal practitioners and academicians will also find this book helpful.a a a a a

Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making. Examples include identifying the insider threat within an organization, the prediction of failure in industrial production, or pinpointing the unique signature of a solo perpetrator, such as a school shooter or a lone wolf terrorist. It is a challenge different from that of identifying a rare event (e.g., a tsunami) or detecting anomalies because the "needle" is not easily distinguished from the haystack. This challenging context is imbued with particular difficulties, from the lack of sufficient data to train a machine learning model through the identification of the relevant features and up to the painful price of false alarms, which might cause us to question the relevance of machine learning solutions even if they perform well according to common performance criteria. In this book, Prof. Neuman approaches the problem of finding the needle by specifically focusing on the human factor, from solo perpetrators to insider threats. Providing for the first time a deep, critical, multidimensional, and methodological analysis of the challenge, the book offers data scientists and decision makers a deep scientific foundational approach combined with a pragmatic practical approach that may guide them in searching for a needle in a haystack.

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place.The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

This book presents the creation of a bilingual thesaurus (Italian and English), and its conversion into an ontology system. It is a valuable reference to scholars of corpus-based studies, terminology, ICT, documentation and librarianship studies, text processing research, as well as professionals involved in Cybersecurity organizations.

This book brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in sustainable living.

AI in combination with other innovative technologies promises to bring unprecedented opportunities to all aspects of life. These technologies, however, hold great dangers, especially for the manipulation of the human mind, which have given rise to serious ethical concerns. Apart from some sectoral regulatory efforts to address these concerns, no regulatory framework for AI has yet been adopted though in 2021 the European Commission of the EU published a draft Act on Artificial Intelligence and UNESCO followed suit with a Recommendation on the Ethics of Artificial Intelligence.The book contextualises the future regulation of AI, specifically addressing the regulatory challenges relating to the planned prohibition of the use of AI systems that deploy subliminal techniques. The convergence of AI with various related technologies, such as brain-computer interfaces, functional magnetic resonance imaging, robotics and big data, already allows for "mind reading" or "dream hacking" through brain spyware, as well as other practices that intrude on cognition and the right to freedom of thought. Future innovations will enhance the possibilities for manipulating thoughts and behaviour, and they threaten to cause serious harm to individuals as well as to society as a whole.¿The issue of subliminal perception and the ability to deceive and manipulate the mind below the threshold of awareness causes severe difficulties for law and democracy and raises important questions for the future of society. This book shows how cognitive, technological, and legal questions are intrinsically interwoven, and aims to stimulate an urgently needed transdisciplinary and transnational debate between students, academics, practitioners, policymakers and citizens interested not only in the law but also in disciplines including computer science, neuroscience, sociology, political science, marketing and psychology.

This book provides integrated features of various disciplines in Computer Science, Mechanical, Electrical, and Electronics Engineering. It is primarily aimed at industry professionals, academicians and researchers for better understanding of the secure data transition between the Industry 4.0 enabled connected systems.