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000890015 05000 $$aHC79.P6$$bE89 2018
000890015 08200 $$a362.5/60285$$223
000890015 1001_ $$aEubanks, Virginia,$$d1972-$$eauthor.
000890015 24510 $$aAutomating inequality :$$bhow high-tech tools profile, police, and punish the poor /$$cVirginia Eubanks.
000890015 24630 $$aHow high-tech tools profile, police, and punish the poor
000890015 250__ $$aFirst edition.
000890015 264_1 $$aNew York, NY :$$bSt. Martin's Press,$$c2018.
000890015 300__ $$a260 pages :$$billustrations ;$$c22 cm
000890015 336__ $$atext$$btxt$$2rdacontent
000890015 337__ $$aunmediated$$bn$$2rdamedia
000890015 338__ $$avolume$$bnc$$2rdacarrier
000890015 504__ $$aIncludes bibliographical references (pages 225-251) and index.
000890015 5050_ $$aIntroduction: red flags -- From poorhouse to database -- Automating eligibility in the heartland -- High-tech homelessness in the City of Angels -- The Allegheny algorithm -- The digital poorhouse -- Conclusion: dismantling the digital poorhouse.
000890015 520__ $$aEubanks investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. She shows how 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. -- adapted from jacket.
000890015 520__ $$a"The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years--because a new computer system interprets any 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 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. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely."--Publisher's description.
000890015 650_0 $$aPoor$$xServices for$$zUnited States$$xData processing.
000890015 650_0 $$aPoverty$$zUnited States.
000890015 650_0 $$aPublic welfare$$xLaw and legislation$$zUnited States.
000890015 650_0 $$aInternet$$xSocial aspects$$zUnited States.
000890015 650_0 $$aComputers$$xSocial aspects$$zUnited States.
000890015 85200 $$bgen$$hHC79.P6$$iE89$$i2018
000890015 909CO $$ooai:library.usi.edu:890015$$pGLOBAL_SET
000890015 980__ $$aBIB
000890015 980__ $$aBOOK