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007    ta
008    180214s2018    nyua     b    001 0 eng d
010      2017036194
020    9781250215789
040    TXQ |beng |erda |cTXQ |dhubpceuo
043    n-us---
082    362.560285
100 1  Eubanks, Virginia, |d1972- |eauthor.
245 10 Automating inequality : |bhow high-tech tools profile, police, and punish the poor / |cVirginia Eubanks.
246 30 How high-tech tools profile, police, and punish the poor.
250    First Picador edition
260    New York : |bPicador ; |bSt. Martin's Press, |c2019.
300    271 pages : |billustrations ; |c21 cm.
337    unmediated
504    Includes bibliographical references and index.
505 0  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.
520    "Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary 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."--Front jacket flap.
650  0 Poor |xServices for |zUnited States |xData processing.
650  0 Poverty |zUnited States.
942     |2ddc |cBK
952     |00 |10 |2ddc |40 |6362_560285000000000_EUB |70 |8REF |9128703OSA |bOSA |d2019-08-21 |eOSA |l0 |o362.560285 EUB |r2019-08-21 |w2019-08-21 |yBK |cReference
920 01 kojZMBoO
992 01 362_560285000000000_EUB |bWTX_UTZXRUZZZZZZZZZ_L5O
966     |cIn the Research Room