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Author Eubanks, Virginia, 1972- author.

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

Publication Info. New York, NY : St. Martin's Press, 2018.
©2017

Copies

Location Call No. Status
 Avon Free Public Library - Adult Department  362.5 EUBANKS    Check Shelf
 Berlin-Peck Memorial Library - Non Fiction  362.5 EUBANKS    Check Shelf
 Bristol, Main Library - Non Fiction  362.56 EUBANKS    Check Shelf
 Burlington Public Library - Adult Department  362.5 EUBANKS    Check Shelf
 Canton Public Library - Adult Department  362.5602 EUBANKS    Check Shelf
 Cromwell-Belden Public Library - Adult Department  362.56 EUB    Check Shelf
 Enfield, Main Library - Adult Department  362.5 EUB    Check Shelf
 Middletown, Russell Library - Adult Nonfiction  362.56 EUB    Check Shelf
 Middletown, Russell Library - Adult Nonfiction  362.56 EUB    DUE 05-10-24
 Middletown, Russell Library - NEW Adult Nonfiction  362.56 EUB    DUE 12-26-18 Billed

Edition First edition.
Description 260 pages : illustrations ; 22 cm
Occupation/field of activity group: occ University and college faculty members lcdgt
National/regional group: nat New Yorkers (New York State) lcdgt
Gender group: gdr Women lcdgt
Bibliography Includes bibliographical references (pages 225-251) and index.
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.
Summary The state of Indiana denied one million applications for health care, food stamps, and cash benefits in three years - because a new computer system interpreted any application mistake as "failure to cooperate." In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision making in finance, employment, politics, health care, and human services has undergone revolutionay change. Today, automated systems control which neighborhoods get policed, which families attain 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. Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on economic inequality and democracy in America. Full of heart-wrenching and eye-opening stories, this deeply researched and passionate book could not be timelier. -- From dust jacket.
Local Subject Poor people -- Services for -- United States -- Data processing.
Subject COMPUTERS -- Social Aspects.
SOCIAL SCIENCE -- Poverty & Homelessness.
Public welfare -- Law and legislation -- United States.
SOCIAL SCIENCE -- Social Classes & Economic Disparity.
Poverty -- United States.
Internet -- Social aspects. (OCoLC)fst01766793
Computers -- Social aspects -- United States.
POLITICAL SCIENCE -- Public Policy -- Social Services & Welfare.
Internet -- Social aspects -- United States.
Poverty. (OCoLC)fst01074093
United States. (OCoLC)fst01204155
Computers -- Social aspects. (OCoLC)fst00872861
Poor -- Services for -- United States -- Data processing.
Public welfare -- Law and legislation. (OCoLC)fst01083290
Added Title How high-tech tools profile, police, and punish the poor
ISBN 9781250074317 (hardcover)
1250074312 (hardcover)
9781250215789 (pbk)
1250215781 (pbk)
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