Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. Virginia Eubanks
Automating-Inequality-How.pdf
ISBN: 9781250215789 | 288 pages | 8 Mb
- Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
- Virginia Eubanks
- Page: 288
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781250215789
- Publisher: Picador
Download free pdf books Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Overview
WINNER: The 2018 McGannon Center Book Prize and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice The New York Times Book Review: "Riveting." Naomi Klein: "This book is downright scary." Ethan Zuckerman, MIT: "Should be required reading." Dorothy Roberts, author of Killing the Black Body: "A must-read." Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Cory Doctorow: "Indispensable." A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity 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. 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.
Other ebooks:
[Pdf/ePub] Nudge - La méthode douce pour inspirer la bonne décision by Richard H. Thaler, Cass Sunstein download ebook
[PDF] Kaplan Medical USMLE Step 2 CS: Complex Cases: 35 Cases You Are Likely to See on the Exam download
Download PDF I Am Zion: Unleash the Power of God's Glory in Your Life
[Pdf/ePub] In nomine by Eric Giacometti, Jacques Ravenne download ebook
[PDF/Kindle] DIME QUIEN SOY descargar gratis
[Pdf/ePub] Refactoring - Comment améliorer le code existant by Martin Fowler download ebook
INGENIERIA Y GESTION DEL MANTENIMIENTO FERROVIARIO EBOOK | J.L. ARQUES PATON | Descargar libro PDF EPUB
{pdf download} Norme NF P16-006 Août 2016 - Installations d'assainissement non collectif - conception
0コメント