Real World AI Ethics for Data Scientists: Practical Case Studies (Chapman & Hall/CRC Data Science Series)

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Synopsis
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.
Copyright:
2023

Book Details

Book Quality:
Publisher Quality
Book Size:
132 Pages
ISBN-13:
9781000859843
Related ISBNs:
9781003293125, 9781032275062, 9781032275055
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
selection and editorial matter, Nachshon
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Science, Computers and Internet, Law, Legal Issues and Ethics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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