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      Real World AI Ethics for Data Scientists: Practical Case Studies

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      SKU 9781032275055 Categories ,
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      In the midst of the 4th industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. This book seeks to shape, in a practical, diverse and inclusive way, the ethical compass of those entrusted with big d...

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      Description

      Product ID:9781032275055
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Series:Chapman & Hall/CRC Data Science Series
      Title:Real World AI Ethics for Data Scientists
      Subtitle:Practical Case Studies
      Authors:Author: Nachshon Goltz, Tracey Dowdeswell
      Page Count:132
      Subjects:Research methods: general, Research methods: general, Ethical issues: scientific, technological and medical developments, Probability and statistics, Automatic control engineering, Environmental science, engineering and technology, Digital and information technologies: social and ethical aspects, Digital and information technologies: Legal aspects, Databases, Computer science, Artificial intelligence, Ethical issues: scientific & technological developments, Probability & statistics, Automatic control engineering, Environmental science, engineering & technology, Ethical & social aspects of IT, Legal aspects of IT, Databases, Computer science, Artificial intelligence
      Description:Select Guide Rating
      In the midst of the 4th industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. This book seeks to shape, in a practical, diverse and inclusive way, the ethical compass of those entrusted with big data.

      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.


      Imprint Name:Chapman & Hall/CRC
      Publisher Name:Taylor & Francis Ltd
      Country of Publication:GB
      Publishing Date:2023-04-13

      Additional information

      Weight234 g
      Dimensions155 × 234 × 10 mm