Real World AI Ethics for Data Scientists: Practical Case Studies

Big data is weighing in gold, placing enormous power in the hands of data scientists, but with greater responsibility. This book seeks to shape the ethical compass of those entrusted with big data, providing seven real-world case studies dealing with big data abuse. It includes commentary from scholars representing non-Western ethical approaches and Western approaches.

Format: Paperback / softback
Length: 132 pages
Publication date: 13 April 2023
Publisher: Taylor & Francis Ltd

In the midst of the fourth industrial revolution, big data holds immense value, granting data scientists extraordinary power—akin to modern-day AI alchemists. However, with this power comes a profound responsibility, urging us to shape the ethical compass of those entrusted with this precious resource. This book aims to accomplish this in a practical, diverse, and inclusive manner.

Practical in its approach, this book offers seven real-world case studies that shed light on the abuse of big data. These cases encompass a wide range of topics, from the statistical manipulation of research in the Cornell food lab to the Facebook user data abuse perpetrated by Cambridge Analytica and the mistreatment of farm animals by AI in a chapter co-authored by renowned philosophers Peter Singer and Yip Fai Tse.

Diverse and inclusive, recognizing the global nature of this revolution, this book provides case-by-case commentary on these cases by scholars representing non-Western ethical perspectives (Buddhist, Jewish, Indigenous, and African) as well as Western approaches (consequentialism, deontology, and virtue). Our hope is that this book will serve as a guiding light for those engaged in ethical deliberations within this complex and ever-evolving field.

Weight: 234g
Dimension: 155 x 234 x 10 (mm)
ISBN-13: 9781032275055