Automating Inequality - Info and Reading Options
How High-Tech Tools Profile, Police, and Punish the Poor
By Virginia Eubanks and Eubanks
"Automating Inequality" was published by St. Martin's Press in 2018, it has 272 pages and the language of the book is English.
“Automating Inequality” Metadata:
- Title: Automating Inequality
- Authors: Virginia EubanksEubanks
- Language: English
- Number of Pages: 272
- Publisher: St. Martin's Press
- Publish Date: 2018
“Automating Inequality” Subjects and Themes:
- Subjects: ➤ Poor - Services for - Poverty - Data processing - Poor, united states - New York Times reviewed - COMPUTERS / Social Aspects - POLITICAL SCIENCE / Public Policy / Social Services & Welfare - SOCIAL SCIENCE / Poverty & Homelessness - SOCIAL SCIENCE / Social Classes & Economic Disparity - Poor--services for--data processing - Poor--services for--united states--data processing - Poverty--united states - Hc79.p6 e89 2018 - 362.5/60285
Edition Identifiers:
- The Open Library ID: OL26681102M - OL18203697W
- Online Computer Library Center (OCLC) ID: 1013516195
- Library of Congress Control Number (LCCN): 2017036194
- ISBN-10: 1250074312
- All ISBNs: 1250074312
AI-generated Review of “Automating Inequality”:
"Automating Inequality" Description:
The Open Library:
"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.
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