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Books > Humanities > Philosophy > Topics in philosophy > Ethics & moral philosophy
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Ethical Reasoning in Big Data - An Exploratory Analysis (Hardcover, 1st ed. 2016)
Loot Price: R2,070
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Ethical Reasoning in Big Data - An Exploratory Analysis (Hardcover, 1st ed. 2016)
Series: Computational Social Sciences
Expected to ship within 12 - 17 working days
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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.
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