Ethical data science : prediction in the public interest / Anne L. Washington, PHD.

Format:

Book

Author/Creator:

Washington, Anne L., author.

Series:

Oxford technology law and policy.

Oxford scholarship online.

Oxford technology law and policy

Oxford scholarship online

Language:

English

Subjects (All):

Data mining--Moral and ethical aspects.

Data mining.

Public interest.

Predictive analytics--Moral and ethical aspects.

Predictive analytics.

Physical Description:

1 online resource (147 pages)

Place of Publication:

New York, NY : Oxford University Press, 2023.

Summary:

Amidst a growing movement to use science for positive change, 'Ethical Data Science' offers a solution-oriented approach to the ethical challenges of data science. As one of the first books on public interest technology, it provides a starting point for anyone who wants human values to counterbalance the institutional incentives that drive computational prediction.

Contents:

Intro

Title Page

Copyright Page

Contents

Introduction: Ethical Data Science

Prologue: Tracing Ethics in the Prediction Supply Chain

1. Source: Data Are People Too

2. Model: Dear Validity, Advice for Wayward Algorithms

3. Compare: No Comparison Without Representation

4. Optimize: Data Science Reasoning

5. Learn: For Good

6. Predict: Show Us Your Work or Someone Gets Hurt

7. Conclusion: Prediction in the Public Interest

References

Index.

Notes:

Also issued in print: 2023.

Includes bibliographical references and index.

Description based on online resource and publisher information; title from PDF title page (viewed on September 29, 2023).

Other Format:

Print version: Washington, Anne L. Ethical Data Science

ISBN:

0-19-769306-7

0-19-769305-9

0-19-769304-0

OCLC:

1401013781