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Data Science Ethics
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Description
While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics 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.
Product details
Binding:
Paperback
Number of Pages:
272
Release Date:
2022-04-01
Publication Date:
2022-03-24
Publisher:
Oxford University Press
Languages:
Original:
English
ISBN10:
0192847279
ISBN13:
9780192847270
GPSR Manufacturer Reference:
Weight:
470 g
Height:
154 cm
Width:
230 cm
Thickness:
14 cm
Condition
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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
€30,49