Peter C Bruce

(Author)

Responsible Data SciencePaperback, 11 May 2021

Responsible Data Science
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Print Length
304 pages
Language
English
Publisher
Wiley
Date Published
11 May 2021
ISBN-10
1119741750
ISBN-13
9781119741756

Description

Explore the most serious prevalent ethical issues in data science with this insightful new resource

The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of "Black box" algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair.

Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to:

  • Improve model transparency, even for black box models
  • Diagnose bias and unfairness within models using multiple metrics
  • Audit projects to ensure fairness and minimize the possibility of unintended harm

Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.

Product Details

Authors:
Peter C BruceGrant Fleming
Book Format:
Paperback
Country of Origin:
US
Date Published:
11 May 2021
Dimensions:
23.11 x 18.54 x 1.52 cm
ISBN-10:
1119741750
ISBN-13:
9781119741756
Language:
English
Pages:
304
Publisher:
Weight:
544.31 gm

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