The 2019 Yearbook of the Digital Ethics Lab
The 2019 Yearbook of the Digital Ethics Lab

Author: Christopher Burr

Publisher: Springer Nature

Published: 2020-01-28

Total Pages: 149

ISBN-13: 3030291456

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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 2020 Yearbook of the Digital Ethics Lab
The 2020 Yearbook of the Digital Ethics Lab

Author: Josh Cowls

Publisher: Springer Nature

Published: 2021-10-30

Total Pages: 230

ISBN-13: 3030800830

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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 2018 Yearbook of the Digital Ethics Lab
The 2018 Yearbook of the Digital Ethics Lab

Author: Carl Öhman

Publisher: Springer Nature

Published: 2019-10-10

Total Pages: 223

ISBN-13: 3030171523

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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
The 2021 Yearbook of the Digital Ethics Lab

Author: Jakob Mökander

Publisher: Springer Nature

Published: 2022-11-07

Total Pages: 290

ISBN-13: 3031098463

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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.

Machine Learning for Business Analytics
Machine Learning for Business Analytics

Author: Hemachandran K

Publisher: CRC Press

Published: 2022-07-21

Total Pages: 191

ISBN-13: 1000615421

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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
The 2022 Yearbook of the Digital Governance Research Group

Author: Francesca Mazzi

Publisher: Springer Nature

Published: 2023-06-22

Total Pages: 170

ISBN-13: 3031286782

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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
Digital Health: A Transformative Approach

Author: Helen Almond

Publisher: Elsevier Health Sciences

Published: 2023-09-25

Total Pages: 314

ISBN-13: 0729598381

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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.

Moral AI
Moral AI

Author: Jana Schaich Borg

Publisher: Random House

Published: 2024-02-08

Total Pages: 212

ISBN-13: 024145476X

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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.

Deep Learning for Medical Decision Support Systems
Deep Learning for Medical Decision Support Systems

Author: Utku Kose

Publisher: Springer Nature

Published: 2020-06-17

Total Pages: 185

ISBN-13: 981156325X

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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.

Digital Transformation and Social Well-Being
Digital Transformation and Social Well-Being

Author: Antonio López Peláez

Publisher: Taylor & Francis

Published: 2022-09-16

Total Pages: 244

ISBN-13: 1000654893

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This is the first book to show how digitalisation and the better provision of information and communication technologies (ICTs) can improve access to a wide-range of social services, as well as make them more inclusive. Overcoming disparities across social groups using contemporary digitalisation models will have lasting consequences on social well-being and human welfare. Reflecting on current trends the authors vividly illustrate the collective, global nature of the challenge that digitalisation represents for providers, administrators and users of welfare services. It is important, therefore, to bear in mind the following for research design and practice: Citizens' rights must be protected Consideration should be given to how the services provided can be improved by more effective use of ICTs Digital interventions require better service coordination in the setting of priorities and specific training in digital skills for service providers and service users The chapters in this book address these problems and challenges in great depth, analysing the role of ICTs in promoting social inclusion and social welfare, drawing on examples of successful ICT applications around the world. The book contains country case-studies from the United States, Brazil, India, the Republic of Korea, Taiwan, Hong Kong (China), Zimbabwe, Morocco, Spain, Portugal, Ireland and Singapore and will be of interest to all scholars and students of social policy, to social work educators, and social care providers.