Real World AI Ethics for Data Scientists

Practical Case Studies

Nachshon (Sean) Goltz, Tracey Dowdeswell

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Hardback

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English

Chapman & Hall/CRC
13 April 2023

Ethical issues: scientific & technological developments; Ethical & social aspects of computing; Legal aspects of computing; Databases; Artificial intelligence

Series: Chapman & Hall/CRC Data Science Series

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.

By: Nachshon (Sean) Goltz, Tracey Dowdeswell
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 421g
ISBN: 9781032275062
ISBN 10: 1032275065
Series: Chapman & Hall/CRC Data Science Series
Pages: 132
Publication Date: 13 April 2023
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Nachshon (Sean) Goltz is an academic, entrepreneur and lawyer. His main interest is in the intersection of ethics, technology and history. Tracey Dowdeswell is a Professor of criminology and legal studies at Douglas College. Her research interests focus on the intersection between law and data science.