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The 2019 Yearbook of the Digital Ethics Lab by Christopher Burr,Silvia Milano Pdf
This edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The yearbook presents research on the following topics: conceptual metaphor theory, cybersecurity governance, cyber conflicts, anthropomorphism in AI, digital technologies for mental healthcare, data ethics in the asylum process, AI’s legitimacy and democratic deficit, digital afterlife industry, automatic prayer bots, foresight analysis and the future of AI. This volume appeals to students, researchers and professionals.
The 2018 Yearbook of the Digital Ethics Lab by Carl Öhman,David Watson Pdf
This book explores a wide range of topics in digital ethics. It features 11 chapters that analyze the opportunities and the ethical challenges posed by digital innovation, delineate new approaches to solve them, and offer concrete guidance to harness the potential for good of digital technologies. The contributors are all members of the Digital Ethics Lab (the DELab), a research environment that draws on a wide range of academic traditions. The chapters highlight the inherently multidisciplinary nature of the subject, which cannot be separated from the epistemological foundations of the technologies themselves or the political implications of the requisite reforms. Coverage illustrates the importance of expert knowledge in the project of designing new reforms and political systems for the digital age. The contributions also show how this task requires a deep self-understanding of who we are as individuals and as a species. The questions raised here have ancient -- perhaps even timeless -- roots. The phenomena they address may be new. But, the contributors examine the fundamental concepts that undergird them: good and evil, justice and truth. Indeed, every epoch has its great challenges. The role of philosophy must be to redefine the meaning of these concepts in light of the particular challenges it faces. This is true also for the digital age. This book takes an important step towards redefining and re-implementing fundamental ethical concepts to this new era.
The 2021 Yearbook of the Digital Ethics Lab by Jakob Mökander,Marta Ziosi Pdf
This annual edited volume explores a wide range of topics in digital ethics and governance. Included are chapters that: analyze the opportunities and ethical challenges posed by digital innovation; delineate new approaches to solve them; and offer concrete guidance on how to govern emerging technologies. The contributors are all members of the Digital Ethics Lab (the DELab) at the Oxford Internet Institute, a research environment that draws on a wide range of academic traditions. Collectively, the chapters of this book illustrate how the field of digital ethics - whether understood as an academic discipline or an area of practice - is undergoing a process of maturation. Most importantly, the focus of the discourse concerning how to design and use digital technologies is increasingly shifting from 'soft ethics' to 'hard governance'. Then, there is the trend in the ongoing shift from 'what' to 'how', whereby abstract or ad-hoc approaches to AI governance are giving way to more concrete and systematic solutions. The maturation of the field of digital ethics has, as this book attempts to show, been both accelerated and illustrated by a series of recent events. This text thereby takes an important step towards defining and implementing feasible and effective approaches to digital governance. It appeals to students, researchers and professionals in the field.
The 2021 Yearbook of the Digital Ethics Lab by Jakob Mökander,Marta Ziosi Pdf
This annual edited volume explores a wide range of topics in digital ethics and governance. Included are chapters that: analyze the opportunities and ethical challenges posed by digital innovation; delineate new approaches to solve them; and offer concrete guidance on how to govern emerging technologies. The contributors are all members of the Digital Ethics Lab (the DELab) at the Oxford Internet Institute, a research environment that draws on a wide range of academic traditions. Collectively, the chapters of this book illustrate how the field of digital ethics - whether understood as an academic discipline or an area of practice - is undergoing a process of maturation. Most importantly, the focus of the discourse concerning how to design and use digital technologies is increasingly shifting from ‘soft ethics’ to ‘hard governance’. Then, there is the trend in the ongoing shift from ‘what’ to ‘how’, whereby abstract or ad-hoc approaches to AI governance are giving way to more concrete and systematic solutions. The maturation of the field of digital ethics has, as this book attempts to show, been both accelerated and illustrated by a series of recent events. This text thereby takes an important step towards defining and implementing feasible and effective approaches to digital governance. It appeals to students, researchers and professionals in the field.
The 2020 Yearbook of the Digital Ethics Lab by Josh Cowls,Jessica Morley Pdf
This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2020 edition of the yearbook presents research on the following topics: governing digital health, visualising governance, the digital afterlife, the possibility of an AI winter, the limits of design theory in philosophy, cyberwarfare, ethics of online behaviour change, governance of AI, trust in AI, and Emotional Self-Awareness as a Digital Literacy. This book appeals to students, researchers and professionals in the field.
The 2020 Yearbook of the Digital Ethics Lab by Josh Cowls,Jessica Morley Pdf
This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2020 edition of the yearbook presents research on the following topics: governing digital health, visualising governance, the digital afterlife, the possibility of an AI winter, the limits of design theory in philosophy, cyberwarfare, ethics of online behaviour change, governance of AI, trust in AI, and Emotional Self-Awareness as a Digital Literacy. This book appeals to students, researchers and professionals in the field.
Machine Learning for Business Analytics by Hemachandran K,Sayantan Khanra,Raul V. Rodriguez,Juan Jaramillo Pdf
Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies. Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers.
The 2022 Yearbook of the Digital Governance Research Group by Francesca Mazzi Pdf
This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Governance Research Group of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2022 edition of the Yearbook presents research on the following topics: autonomous weapons, cyber weapons, digital sovereignty, smart cities, artificial intelligence for the Sustainable Development Goals, vaccine passports, and sociotechnical pragmatism as an approach to technology. This text appeals to students, researchers, and professionals in the field.
Digital Health: A Transformative Approach by Helen Almond,Carey Mather Pdf
Digital Health: A Transformative Approach is designed to prepare Australia and New Zealand’s future health and social care workforce for the rapidly evolving digital health landscape. It is the first local health informatics title reflecting Australasia-specific contexts and its learning objectives are aligned to National Digital Health Strategies and Frameworks. A scaffolded approach to learning, makes this text suitable for all health and social care professionals, from early learners developing skills, to those more capable who want to adapt and lead in digital health. The text is supported by online case studies that will assist development of digital professionalism and understanding requirements of digital technology across clinical, research, education and administration in diverse health and social care environments. Information presented across four units and 12 chapters that support learning and teaching and help build learners’ work readiness Scaffolded approach across three levels of capability – empowered, transitional, and entrusted - suitable for undergraduate, postgraduate and ongoing professional development Supported by an Elsevier Adaptive Quizzing (EAQ) to provide formative assessment across the three levels Includes telehealth, electronic medical/health records, clinical technologies, disaster planning, interoperability and precision health care Additional online case studies to support advanced learning.
Deep Learning for Medical Decision Support Systems by Utku Kose,Omer Deperlioglu,Jafar Alzubi,Bogdan Patrut Pdf
This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.
System Analysis in Engineering and Control by Yuriy S. Vasiliev,Nataliya D. Pankratova,Violetta N. Volkova,Olga D. Shipunova,Nikolay N. Lyabakh Pdf
This book covers the results of research that has been obtained during the last decades by scholars representing several scientific schools working in the field of theory of systems and system analysis. In the book chapters, attention is paid to the development of the general theory of systems’ provisions, approaches, models, and methods of system analysis; such as the concepts of an open system and adaptive systems; the concepts of “the movable equilibrium” and “disequilibrium”, the approach of “growing” the system and its developing through innovations; the system-target approach, systems’ regularities; ontological, cognitive and logical-linguistic models of systems, etc. The book includes parts devoted to the general theoretical and philosophical-methodological problems of systems theory; methods and models of system analysis; innovation technologies in technical and socioeconomic systems; system analyses in the educational process, and higher education management. The materials of the book may be of interest to researchers and specialists working in the field of systems analysis, engineering, computer technologies, including human–computer interaction in socio-technical systems; for the representatives of the academic and engineering society.
Multidisciplinary Perspectives on Artificial Intelligence and the Law by Henrique Sousa Antunes,Pedro Miguel Freitas,Arlindo L. Oliveira,Clara Martins Pereira,Elsa Vaz de Sequeira,Luís Barreto Xavier Pdf
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 the debate 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. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.
Author : Christopher Whyte,Brian M. Mazanec Publisher : Taylor & Francis Page : 390 pages File Size : 50,9 Mb Release : 2023-04-19 Category : History ISBN : 9781000839906
Understanding Cyber-Warfare by Christopher Whyte,Brian M. Mazanec Pdf
This textbook offers an accessible introduction to the historical, technical, and strategic context of global cyber conflict. The second edition has been revised and updated throughout, with three new chapters. Cyber warfare involves issues of doctrine, strategy, policy, international relations (IR) and operational practice associated with computer network attack, computer network exploitation and computer network defense. However, it is conducted within complex sociopolitical settings alongside related forms of digital contestation. This book provides students with a comprehensive perspective on the technical, strategic and policy issues associated with cyber conflict, as well as an introduction to key state and non-state actors. Specifically, the book provides a comprehensive overview of several key issue areas: The historical context of the emergence and evolution of cyber warfare, including the basic characteristics and methods of computer network attack, exploitation and defense An interdisciplinary set of theoretical perspectives on conflict in the digital age from the point of view of the fields of IR, security studies, psychology and science, technology and society (STS) studies Current national perspectives, policies, doctrines and strategies relevant to cyber warfare An examination of key challenges in international law, norm development and deterrence; and The role of emerging information technologies like artificial intelligence and quantum computing in shaping the dynamics of global cyber conflict This textbook will be essential reading for students of cybersecurity/cyber conflict and information warfare, and highly recommended for students of intelligence studies, security and strategic studies, defense policy, and IR in general.
Moral AI by Jana Schaich Borg,Walter Sinnott-Armstrong,Vincent Conitzer Pdf
A balanced and thought-provoking guide to all the big questions about AI and ethics Can computers understand morality? Can they respect privacy? And what can we do to make AI safe and fair? The artificial intelligence revolution has begun. Today, there are self-driving cars on our streets, autonomous weapons in our armies, robot surgeons in our hospitals – and AI's presence in our lives will only increase. Some see this as the dawn of a new era in innovation and ease; others are alarmed by its destructive potential. But one thing is clear: this is a technology like no other, one that raises profound questions about the very definitions of human intelligence and morality. In Moral AI, world-renowned researchers in moral psychology, philosophy, and artificial intelligence – Jana Schaich Borg, Walter Sinnott-Armstrong and Vincent Conitzer – tackle these thorny issues head-on. Writing lucidly and calmly, they lay out the recent advances in this still nascent field, peeling away the exaggeration and misleading arguments. Instead, they offer clear examinations of the moral concerns at the heart of AI programs, from racial equity to personal privacy, fake news to autonomous weaponry. Ultimately, they argue that artificial intelligence can be built and used safely and ethically, but that its potential cannot be achieved without careful reflection on the values we wish to imbue it with. This is an essential primer for any thinking person.
