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    AUTOMATING INEQUALITY

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    883947

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    Sinopse

    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.
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    ISBN9781250074317
    Pré vendaNão
    Peso340g
    Autor para link
    Livro disponível - pronta entregaNão
    Dimensões21.8 x 14.4 x 2.5
    IdiomaInglês
    Tipo itemLIVRO IMPORTADO ADQ MERC INTERNO
    Número de páginas272
    Número da edição1ª EDIÇÃO - 2018
    Código Interno883947
    Código de barras9781250074317
    AcabamentoPAPERBACK
    AutorEUBANKS,VIRGINIA
    EditoraST.MARTINS PRESS
    Sob encomendaSim

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