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Data Science Ethics: Concepts, Techniques, and Cautionary Tales
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Data Science Ethics: Concepts, Techniques, and Cautionary Tales Paperback -

by David Martens

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Reader reviews for Data Science Ethics: Concepts, Techniques, and Cautionary Tales

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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 unethical, they are not trained to weigh the ethical considerations that come from their work - iData Science Ethics/i addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques.

Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.

Details

  • Title Data Science Ethics: Concepts, Techniques, and Cautionary Tales
  • Author David Martens
  • Binding Paperback
  • Pages 272
  • Volumes 1
  • Language ENG
  • Publisher Oxford University Press
  • Illustrated Yes
  • ISBN 9780192847270 / 0192847279
  • Weight 1.05 lbs (0.48 kg)
  • Dimensions 9.4 x 6.2 x 0.6 in (23.88 x 15.75 x 1.52 cm)
  • Category Computers - General Information
  • Library of Congress subjects MATHEMATICS / General, Data mining - Moral and ethical aspects
  • Library of Congress Catalogue Number 2021946685
  • Dewey Decimal Code 005.7

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales
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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

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Data Science Ethics

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

Data Science Ethics: Concepts, Techniques, and Cautionary Tales

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Data Science Ethics

Data Science Ethics

by Martens, David (Professor of Data Science, Professor of Data Science, University of Antwerp, Belgium)

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales
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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales
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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales
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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

by Martens, David

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9780192847270 / 0192847279
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