The Resource Automating inequality : how high-tech tools profile, police, and punish the poor, Virginia Eubanks
Automating inequality : how high-tech tools profile, police, and punish the poor, Virginia Eubanks
Resource Information
The item Automating inequality : how high-tech tools profile, police, and punish the poor, Virginia Eubanks represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Biddle Law Library - University of Pennsylvania Law School.This item is available to borrow from 1 library branch.
Resource Information
The item Automating inequality : how high-tech tools profile, police, and punish the poor, Virginia Eubanks represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Biddle Law Library - University of Pennsylvania Law School.
This item is available to borrow from 1 library branch.
- Summary
- "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 lies dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely."--Publisher's description
- Language
- eng
- Edition
- First Picador edition
- Extent
- 271 pages
- Note
- Includes discussion questions
- Contents
-
- 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
- Afterword to the paperback edition
- Isbn
- 9781250215789
- Label
- Automating inequality : how high-tech tools profile, police, and punish the poor
- Title
- Automating inequality
- Title remainder
- how high-tech tools profile, police, and punish the poor
- Statement of responsibility
- Virginia Eubanks
- Title variation
- How high-tech tools profile, police, and punish the poor
- Subject
-
- Internet -- Social aspects
- Internet -- Social aspects -- United States
- Poor -- Services for -- United States -- Data processing
- Poverty
- Computers -- Social aspects
- Public welfare -- Law and legislation
- Public welfare -- Law and legislation -- United States
- United States
- Poverty -- United States
- Computers -- Social aspects -- United States
- Language
- eng
- Summary
- "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 lies dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely."--Publisher's description
- Cataloging source
- YDX
- http://library.link/vocab/creatorDate
- 1972-
- http://library.link/vocab/creatorName
- Eubanks, Virginia
- Illustrations
- illustrations
- Index
- index present
- LC call number
- HC79.P6
- LC item number
- E89 2019
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/subjectName
-
- Poor
- Poverty
- Public welfare
- Internet
- Computers
- Computers
- Internet
- Poverty
- Public welfare
- United States
- Label
- Automating inequality : how high-tech tools profile, police, and punish the poor, Virginia Eubanks
- Note
- Includes discussion questions
- Bibliography note
- Includes bibliographical references (pages 231-256) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 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 -- Afterword to the paperback edition
- Dimensions
- 21 cm
- Edition
- First Picador edition
- Extent
- 271 pages
- Isbn
- 9781250215789
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
- (OCoLC)1050280177
- Label
- Automating inequality : how high-tech tools profile, police, and punish the poor, Virginia Eubanks
- Note
- Includes discussion questions
- Bibliography note
- Includes bibliographical references (pages 231-256) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 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 -- Afterword to the paperback edition
- Dimensions
- 21 cm
- Edition
- First Picador edition
- Extent
- 271 pages
- Isbn
- 9781250215789
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
- (OCoLC)1050280177
Subject
- Internet -- Social aspects
- Internet -- Social aspects -- United States
- Poor -- Services for -- United States -- Data processing
- Poverty
- Computers -- Social aspects
- Public welfare -- Law and legislation
- Public welfare -- Law and legislation -- United States
- United States
- Poverty -- United States
- Computers -- Social aspects -- United States
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.law.upenn.edu/portal/Automating-inequality--how-high-tech-tools/XAWEXgVnysY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.law.upenn.edu/portal/Automating-inequality--how-high-tech-tools/XAWEXgVnysY/">Automating inequality : how high-tech tools profile, police, and punish the poor, Virginia Eubanks</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.law.upenn.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.law.upenn.edu/">Biddle Law Library - University of Pennsylvania Law School</a></span></span></span></span></div>
