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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.
23 de jan. de 2018 · 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.
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- Virginia Eubanks
- $20.93
- St. Martin's Press
15 de out. de 2018 · Almost two decades into the new millennium, it is unlikely that the use of digital technologies will slow in any significant way, particularly in the public sector. As local and regional public age...
- Hannah Lebovits
- 2019
s attention to the way in which data-based tools are used – and abused – in public services. By exploring the role of data-collection in the Welfare System, the Coordinated Entry System, and the AFST predictive model, Eubanks examines the ways in which vulnerable people are targeted.
Our new digital tools spring from punitive, moralistic views of poverty and create a system of high-tech containment and investigation. The digital poorhouse deters the poor from accessing public resources; polices their labor, spending, sexuality, and parenting; tries to predict their future behavior; and punishes and criminalizes those who do ...
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compare how predictive tools are con-structed in gain or lose legitimacy, and are promoted to, and challenged by, key stakeholders in Aotearoa New Zealand, England and Denmark. Findings show how … Expand
15 de out. de 2018 · I suggest three changes: better-funded local police forces, more trials to locally selected juries, and more vaguely defined crimes (to give those juries opportunities to exercise judgment).
