Automating inequality : how high-tech tools profile, police, and punish the poor / Virginia Eubanks.

Format:

Book

Author/Creator:

Eubanks, Virginia, 1972- author.

Language:

English

Subjects (All):

Poor--Services for--United States--Data processing.

Poor.

Poverty--United States.

Poverty.

Poor--Services for.

United States.

Local Subjects:

Poor--Services for--United States--Data processing.

Poverty--United States.

Physical Description:

260 pages : illustrations ; 22 cm

Edition:

First Edition.

Other Title:

How high-tech tools profile, police, and punish the poor

Place of Publication:

New York, NY : St. Martin's Press, 2018.

Summary:

"Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems - rather than humans - control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile"--Publisher's website.

Contents:

Introduction: red flags

From poorhouse to database

Automating eligibility in the heartland

High-tech homelessness in the City of Angels

The Allegheny algorithm

The digital poorhouse

Conclusion: dismantling the digital poorhouse

Acknowledgments

Sources and methods

Notes

Index.

Notes:

Includes bibliographical references (pages 225-251) and index.

ISBN:

9781250074317

1250074312

OCLC:

1013516195

Online:

More Info