Ethical Reasoning in Big Data
Ethical Reasoning in Big Data

Author: Jeff Collmann

Publisher: Springer

Published: 2016-04-22

Total Pages: 194

ISBN-13: 3319284223

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This book springs from a multidisciplinary, multi-organizational, and multi-sector conversation about the privacy and ethical implications of research in human affairs using big data. The need to cultivate and enlist the public’s trust in the abilities of particular scientists and scientific institutions constitutes one of this book’s major themes. The advent of the Internet, the mass digitization of research information, and social media brought about, among many other things, the ability to harvest – sometimes implicitly – a wealth of human genomic, biological, behavioral, economic, political, and social data for the purposes of scientific research as well as commerce, government affairs, and social interaction. What type of ethical dilemmas did such changes generate? How should scientists collect, manipulate, and disseminate this information? The effects of this revolution and its ethical implications are wide-ranging. This book includes the opinions of myriad investigators, practitioners, and stakeholders in big data on human beings who also routinely reflect on the privacy and ethical issues of this phenomenon. Dedicated to the practice of ethical reasoning and reflection in action, the book offers a range of observations, lessons learned, reasoning tools, and suggestions for institutional practice to promote responsible big data research on human affairs. It caters to a broad audience of educators, researchers, and practitioners. Educators can use the volume in courses related to big data handling and processing. Researchers can use it for designing new methods of collecting, processing, and disseminating big data, whether in raw form or as analysis results. Lastly, practitioners can use it to steer future tools or procedures for handling big data. As this topic represents an area of great interest that still remains largely undeveloped, this book is sure to attract significant interest by filling an obvious gap in currently available literature.

The Big Data Agenda
The Big Data Agenda

Author: Annika Richterich

Publisher: University of Westminster Press

Published: 2018-04-13

Total Pages: 156

ISBN-13: 1911534734

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This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.

The Ethics of Biomedical Big Data
The Ethics of Biomedical Big Data

Author: Brent Daniel Mittelstadt

Publisher: Springer

Published: 2016-08-03

Total Pages: 478

ISBN-13: 3319335251

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This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.

Ethical Issues in Covert, Security and Surveillance Research
Ethical Issues in Covert, Security and Surveillance Research

Author: Ron Iphofen

Publisher: Emerald Group Publishing

Published: 2021-12-09

Total Pages: 267

ISBN-13: 1802624139

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The ebook edition of this title is Open Access and freely available to read online. Ethical Issues in Covert, Security and Surveillance Research showcases that it is only when the integrity of research is carefully pursued can users of the evidence produced be assured of its value and its ethical credentials.

The Mathematical Corporation
The Mathematical Corporation

Author: Josh Sullivan

Publisher: PublicAffairs

Published: 2017-06-06

Total Pages: 289

ISBN-13: 1610397894

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The most powerful weapon in business today is the alliance between the mathematical smarts of machines and the imaginative human intellect of great leaders. Together they make the mathematical corporation, the business model of the future. We are at a once-in-a-decade breaking point similar to the quality revolution of the 1980s and the dawn of the internet age in the 1990s: leaders must transform how they run their organizations, or competitors will bring them crashing to earth -- often overnight. Mathematical corporations -- the organizations that will master the future -- will outcompete high-flying rivals by merging the best of human ingenuity with machine intelligence. While smart machines are weapon number one for organizations, leaders are still the drivers of breakthroughs. Only they can ask crucial questions to capitalize on business opportunities newly discovered in oceans of data. This dynamic combination will make possible the fulfillment of missions that once seemed out of reach, even impossible to attain. Josh Sullivan and Angela Zutavern's extraordinary examples include the entrepreneur who upended preventive health care, the oceanographer who transformed fisheries management, and the pharmaceutical company that used algorithm-driven optimization to boost vaccine yields. Together they offer a profoundly optimistic vision for a dazzling new phase in business, and a playbook for how smart companies can manage the essential combination of human and machine.

Foundations of Information Ethics
Foundations of Information Ethics

Author: John T. F. Burgess

Publisher: American Library Association

Published: 2019-03-01

Total Pages: 281

ISBN-13: 0838918492

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As discussions about the roles played by information in economic, political, and social arenas continue to evolve, the need for an intellectual primer on information ethics that also functions as a solid working casebook for LIS students and professionals has never been more urgent.

The Little Book of Big Ethical Questions
The Little Book of Big Ethical Questions

Author: Susan Liautaud

Publisher: Simon and Schuster

Published: 2022-04-05

Total Pages: 336

ISBN-13: 1982132248

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Perfect for your next dinner party discussion, The Little Book of Big Ethical Questions presents some of today’s most thought-provoking ethical questions in a welcoming, easy-to-discuss Q&A format, with guidance from a renowned ethicist. Often a single question can spark a meaningful exchange—like “Would you apply for a job you know your friend is applying for?” Or “Should voting be mandatory?” Or what about police using facial recognition technology? Questions like these spur us to consider: What would I have done? Is there one correct answer? And ultimately: How can ethics help us navigate these situations to find the best outcome for ourselves and others? An ethicist who advises leaders and organizations worldwide, Susan Liautaud asks intriguing questions that encourage lively discussion across a range of subjects, from family and friends to health and technology to politics, work, and consumer choices. She then walks through the ways you might approach each situation to find the best answer for you. Grab the book, gather a few friends, and dive in!

Ethical Reasoning for a Data-Centered World
Ethical Reasoning for a Data-Centered World

Author: Rochelle Tractenberg

Publisher: Ethics International Press

Published: 2023-11-25

Total Pages: 411

ISBN-13: 1804410799

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The American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both. Since statistics and computing are critical in any data-centered activity, these practice standards are essential to instruction in the uses of statistical practices or computing across disciplines. Ethical Reasoning For A Data-Centered World is aimed at any undergraduate or graduate students utilizing data. Whether the career goal is research, teaching, business, government, or a combination, this book presents a method for understanding and prioritizing ethical statistics, computing, and data science – featuring the ASA and ACM practice standards. To facilitate engagement, integration with prior learning, and authenticity, the material is organized around seven tasks: Planning/Designing; Data collection; Analysis; Interpretation; Reporting; Documenting; and Engaging in team work. This book is a companion volume to Ethical Practice of Statistics and Data Science, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the American Statistical Association (ASA) and Association of Computing Machinery (ACM) ethical guideline documents.

Business Cases in Ethical Focus
Business Cases in Ethical Focus

Author: Fritz Allhoff

Publisher: Broadview Press

Published: 2019-12-06

Total Pages: 322

ISBN-13: 1770487298

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Business Cases in Ethical Focus is a new collection of in-depth case studies from around the world, covering all major areas of business ethics. Cases address a broad range of topics such as the ethics of entrepreneurship and finance, the challenges that diversity raises for business, and whistleblowing. The cases are provocative yet complex, conveying the difficulty of moral dilemmas and the potential for reasonable disagreement.

Journalism in an Era of Big Data
Journalism in an Era of Big Data

Author: Seth Lewis

Publisher: Routledge

Published: 2018-03-08

Total Pages: 272

ISBN-13: 1315533278

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Big data is marked by staggering growth in the collection and analysis of digital trace information regarding human and natural activity, bound up in and enabled by the rise of persistent connectivity, networked communication, smart machines, and the internet of things. In addition to their impact on technology and society, these developments have particular significance for the media industry and for journalism as a practice and a profession. These data-centric phenomena are, by some accounts, poised to greatly influence, if not transform, some of the most fundamental aspects of news and its production and distribution by humans and machines. What such changes actually mean for news, democracy, and public life, however, is far from certain. As such, there is a need for scholarly scrutiny and critique of this trend, and this volume thus explores a range of phenomena—from the use of algorithms in the newsroom, to the emergence of automated news stories—at the intersection between journalism and the social, computer, and information sciences. What are the implications of such developments for journalism’s professional norms, routines, and ethics? For its organizations, institutions, and economics? For its authority and expertise? And for the epistemology that underwrites journalism’s role as knowledge-producer and sense-maker in society? Altogether, this book offers a first step in understanding what big data means for journalism. This book was originally published as a special issue of Digital Journalism.