Data Science Ethics
Concepts, Techniques, and Cautionary Tales
$137.37
- Paperback
272 pages
- Release Date
15 June 2022
Summary
Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations.
While data scientists and business managers are not inherently u…
Book Details
| ISBN-13: | 9780192847270 |
|---|---|
| ISBN-10: | 0192847279 |
| Author: | David Martens |
| Publisher: | Oxford University Press |
| Imprint: | Oxford University Press |
| Format: | Paperback |
| Number of Pages: | 272 |
| Release Date: | 15 June 2022 |
| Weight: | 458g |
| Dimensions: | 15mm x 156mm x 233mm |
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Critics Review
An excellent reading with both depth and breadth on some of the most important challenges and risks data scientists, businesses, governments and societies face today as Artificial Intelligence adoption grows. These are topics everyone needs to be aware of, and this is one of the very few must read books on these issues * Theodoros Evgeniou, Professor of Decision Sciences and Technology Management at INSEAD, France *
This is an important and timely book for data scientists, written in a clear and engaging way. Motivated by many relevant examples, the author successfully de-mystifies data ethics lingo and presents a comprehensive view of ethical considerations during the entire data science lifecycle. * Galit Shmueli, Tsing Hua Distinguished Professor, Institute of Service Science and Institute Director, College of Technology Management, National Tsing Hua University, Taiwan *
David Martens
David Martens is Professor of Data Science at the Department of Engineering Management, University of Antwerp, Belgium. He teaches data mining and data science and ethics to postgraduate students studying business economics and business engineering. In his work, David has collaborated with large banks, insurance companies and telco companies, as well as with various technology startups. His research has been published in high-impact journals and has received several awards.
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