Automating inequality : how high-tech tools profile, police, and punish the poor /
"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 investi...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York, NY :
St. Martin's Press,
2018.
|
| Edition: | First Edition. |
| Subjects: |
MARC
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| 100 | 1 | |a Eubanks, Virginia, |d 1972- |e author. |0 http://id.loc.gov/authorities/names/n2010029018 | |
| 245 | 1 | 0 | |a Automating inequality : |b how high-tech tools profile, police, and punish the poor / |c Virginia Eubanks. |
| 246 | 3 | 0 | |a How high-tech tools profile, police, and punish the poor |
| 250 | |a First Edition. | ||
| 264 | 1 | |a New York, NY : |b St. Martin's Press, |c 2018. | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 260 pages : |b illustrations ; |c 22 cm | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a unmediated |b n |2 rdamedia | ||
| 338 | |a volume |b nc |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (pages 225-251) and index. | ||
| 505 | 0 | |a 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 | |a "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. | ||
| 650 | 0 | |a Poor |x Services for |z United States |x Data processing. | |
| 650 | 0 | |a Poverty |z United States. |0 http://id.loc.gov/authorities/subjects/sh2008109904 | |
| 650 | 7 | |a COMPUTERS / Social Aspects. |2 bisacsh | |
| 650 | 7 | |a POLITICAL SCIENCE / Public Policy / Social Services & Welfare. |2 bisacsh | |
| 650 | 7 | |a SOCIAL SCIENCE / Poverty & Homelessness. |2 bisacsh | |
| 650 | 7 | |a SOCIAL SCIENCE / Social Classes & Economic Disparity. |2 bisacsh | |
| 650 | 4 | |a Poor |x Services for |z United States |x Data processing. | |
| 650 | 4 | |a Poverty |z United States. | |
| 650 | 7 | |a Poor |x Services for. |2 fast |0 (OCoLC)fst01071142 | |
| 650 | 7 | |a Poor. |2 fast |0 (OCoLC)fst01071040 | |
| 650 | 7 | |a Electronic data processing. |2 fast |0 (OCoLC)fst00906956 | |
| 650 | 7 | |a Poverty. |2 fast |0 (OCoLC)fst01074093 | |
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