Automating inequality : how high-tech tools profile, police, and punish the poor
Eubanks, Virginia, 1972- author.

Automating inequality : how high-tech tools profile, police, and punish the poor

Eubanks, Virginia, 1972- author.


Physical Description
260 pages : illustrations ; 22 cm

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.

"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.

Subject Term
Soziale Ungleichheit. (DE-588)4055736-4
Technische Innovation. (DE-588)4431027-4
Poverty -- United States.
Poor -- Services for -- United States -- Data processing.

Electronic Access
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Production, Publication, Distribution, Manufacture, and Copyright Notice
New York, NY : St. Martin's Press, 2018.

Material TypeShelf NumberBarcodeLibraryStatus
BookSOCIETY CLASS 362.5 EUBA32530608934814Main JCPLAdult Nonfiction Area