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Real world AI ethics for data scientists = practical case studies /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Real world AI ethics for data scientists/ Nachshon (Sean) Goltz and Tracey Dowdeswell.
Reminder of title:	practical case studies /
Author:	Goltz, Nachshon.
other author:	Dowdeswell, Tracey.
Published:	Boca Raton, FL :Chapman & Hall/CRC Press, : 2023.,
Description:	1 online resource :ill. :
Subject:	Big data - Moral and ethical aspects. -
Online resource:	https://www.taylorfrancis.com/books/9781003293125
ISBN:	9781003293125

Real world AI ethics for data scientists = practical case studies /
Goltz, Nachshon.

Real world AI ethics for data scientistspractical case studies /[electronic resource] :Nachshon (Sean) Goltz and Tracey Dowdeswell. - 1st ed. - Boca Raton, FL :Chapman & Hall/CRC Press,2023. - 1 online resource :ill. - Data science series. - Chapman & Hall/CRC data science series..

Includes bibliographical references and index.

In the midst of the fourth industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse, and inclusive way, the ethical compass of those entrusted with big data. Being practical, this book provides seven real-world case studies dealing with big data abuse. These cases span a range of topics from the statistical manipulation of research in the Cornell food lab through the Facebook user data abuse done by Cambridge Analytica to the abuse of farm animals by AI in a chapter co-authored by renowned philosophers Peter Singer and Yip Fai Tse. Diverse and inclusive, given the global nature of this revolution, this book provides case-by-case commentary on the cases by scholars representing non-Western ethical approaches (Buddhist, Jewish, Indigenous, and African) as well as Western approaches (consequentialism, deontology, and virtue). We hope this book will be a lighthouse for those debating ethical dilemmas in this challenging and ever-evolving field.

ISBN: 9781003293125Subjects--Topical Terms:

1107545
Big data
--Moral and ethical aspects.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Real world AI ethics for data scientists = practical case studies /
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