Real World AI Ethics for Data Scientists: Practical Case Studies, 1st Edition eBook

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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.

This is a digital product.

Real World AI Ethics for Data Scientists: Practical Case Studies 1st Edition is written by Nachshon (Sean) Goltz; Tracey Dowdeswell and published by Chapman & Hall. The Digital and eTextbook ISBNs for Real World AI Ethics for Data Scientists are 9781000859843, 1000859843 and the print ISBNs are 9781032275055, 1032275057. Additional ISBNs for this eTextbook include 9781032275062, 9781003293125, 9781000859805.