The 2020 Yearbook Of The Digital Ethics Lab

Download or read book The 2020 Yearbook of the Digital Ethics Lab written by Josh Cowls and published by Springer Nature. This book was released on 2021-10-30 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The 2021 Yearbook of the Digital Ethics Lab written by Jakob Mökander and published by Springer Nature. This book was released on 2022-11-07 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The 2018 Yearbook of the Digital Ethics Lab written by Carl Öhman and published by Springer Nature. This book was released on 2019-10-10 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The 2019 Yearbook of the Digital Ethics Lab written by Christopher Burr and published by Springer Nature. This book was released on 2020-01-28 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The 2022 Yearbook of the Digital Governance Research Group written by Francesca Mazzi and published by Springer Nature. This book was released on 2023-06-22 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Machine Learning for Business Analytics written by Hemachandran K and published by CRC Press. This book was released on 2022-07-21 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence and Machine Learning for Women's Health Issues written by Meenu Gupta and published by Elsevier. This book was released on 2024-04-26 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning for Women's Health Issues: Challenges, Impact, and Solutions discusses the applications, challenges, and solutions that machine learning can bring to women's health challenges. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning, which enhance the future healthcare system. This book's primary focus is on women's health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women's health issues. - Provides fundamental concepts and analysis of machine learning algorithms used to aid in the diagnosis of women's health issues - Guides researchers to specific ideas, tools, and practices most applicable to product/service development, innovation problems, and opportunities - Provides hands-on chapters that describe frameworks, applications, best practices, and case studies of future directions of applied machine learning in women's healthcare