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Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
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A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity.
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- WINNER: The 2019 Lillian Smith Book Award, 2018 McGannon Center Book Prize, and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social JusticeAstra Taylor, author of The People's Platform: The single most important book about technology you will read this year.Dorothy Roberts, author of Killing the Black Body: A must-read.A powerful investigative look at data-based discrimination?and how technology affects civil and human rights and economic equityThe 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.
| Publisher | Picador |
| Publication date | August 6, 2019 |
| Edition | Reprint |
| Language | English |
| Print length | 288 pages |
| ISBN-10 | 1250215781 |
| ISBN-13 | 978-1250215789 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 5.35 x 1.9 x 8.25 inches (13.6 x 4.8 x 21 cm) |
Who Should Buy?
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Social Justice Advocates
Individuals looking to understand the impact of technology on marginalized communities and advocate for equitable practices.
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Policy Makers
Those involved in drafting policy can benefit from insights on inequality and tech's role in societal structures.
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Researchers and Academics
Scholars studying socioeconomic disparities and the ethical implications of technology will find valuable information and case studies.
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General Readers
Readers seeking casual or light reading may find the book’s themes and analysis too dense or academic.
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Tech Industry Professionals
Tech experts looking for technical guidance or software development tips will not find relevant content in this book.
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Conspiracy Theorists
Those focused on unfounded narratives about technology will likely dismiss the book's research-based approach to inequality.
DESCRIPCIÓN DEL PRODUCTO
Preguntas y respuestas de los clientes
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Pregunta:
What is the main theme of 'Automating Inequality'?
Respuesta: 'Automating Inequality' explores the intersection of technology and social justice, specifically how digital tools and algorithms exacerbate inequalities faced by the poor. The book meticulously examines case studies to reveal how these high-tech solutions can profile, police, and penalize vulnerable populations. By delving into the implications of automation in public services, the author highlights the ethical concerns related to data usage and systemic bias, making it essential reading for those interested in social justice, technology, and policy reform. -
Pregunta:
Who is the author of 'Automating Inequality'?
Respuesta: The author of 'Automating Inequality' is Virginia Eubanks, a well-regarded scholar and advocate for social justice. Eubanks draws on her extensive research and experience in understanding how technology impacts marginalized communities. Her insights provide a critical perspective on how digital tools not only serve administrative efficiency but also perpetuate existing social divides. Engaging with Eubanks’ work equips readers with a deeper understanding of the ethical implications of technology in society. -
Pregunta:
What are some key case studies discussed in the book?
Respuesta: The book includes detailed case studies from various public service sectors, such as welfare, policing, and education. These examples illustrate how algorithms are employed in social welfare programs, often leading to unintended consequences like increased surveillance or biased decision-making against marginalized groups. Through these narratives, readers get a realistic view of the technology's impacts and are prompted to reconsider the role of data in shaping policies that affect the lives of the poor. -
Pregunta:
Is 'Automating Inequality' suitable for non-academic readers?
Respuesta: 'Automating Inequality' is written in a style that is accessible to a wide audience, making it suitable for both academic and non-academic readers. While grounded in research, Eubanks infuses stories and personal accounts that resonate with everyday concerns about inequality and technology. Readers might find themselves reflecting on the societal implications of tech deployments, regardless of their prior knowledge of the subject. It serves as an intriguing gateway for those new to the topics of tech ethics and social justice. -
Pregunta:
Can 'Automating Inequality' be used as a resource for activism?
Respuesta: Absolutely! 'Automating Inequality' is an empowering resource for activists and advocates who aim to challenge inequities propagated by technology. Eubanks’ analysis highlights not only the problems but also offers insights into potential paths for reform and advocacy strategies. Using the book as a reference, individuals can galvanize discussions around technological accountability, push for policy changes, or educate communities about their rights. It serves as a compelling call to action against the automation of social services. -
Pregunta:
What are some critiques of the book?
Respuesta: 'Automating Inequality' has sparked discussions that range from praise to critique. Some reviewers argue that while Eubanks makes strong points about systemic issues, the book could benefit from more in-depth solutions or examples of successful alternatives. Others may feel that certain aspects of technology's role in society are underexplored. Nonetheless, these critiques often serve to deepen discussions about needed accountability in tech and highlight the importance of ongoing conversations surrounding those issues. -
Pregunta:
How does the book address the role of data privacy?
Respuesta: 'Automating Inequality' tackles data privacy by illustrating how personal data is often harvested and monitored without informed consent, particularly in vulnerable communities. Eubanks emphasizes that these practices can lead to harassment and increased sanctions against the very populations these technologies claim to assist. This book urges readers to critically engage with the ethical implications of data collection and challenges them to advocate for stronger protections of privacy rights as digital surveillance becomes more ubiquitous. -
Pregunta:
What impact has the book had on discussions about technology and inequality?
Respuesta: 'Automating Inequality' has significantly influenced dialogues on the intersection of technology and social equity. Since its publication, it has been cited in policy debates, academic discussions, and community forums, promoting greater awareness of the potential harms of automated systems. Eubanks’ work encourages more critical scrutiny of technological solutions in public sectors and calls for participatory approaches that include marginalized voices in technological decision-making processes. -
Pregunta:
What is the format of 'Automating Inequality' and are there illustrations?
Respuesta: 'Automating Inequality' is available in a paperback format, and the illustrated edition includes visual elements that enhance understanding of key concepts. These illustrations provide a clearer representation of complex ideas presented in the text, making it easier for readers to grasp Eubanks’ arguments and the implications of technology on inequality. The visual aids can serve as an effective educational tool for both individual readers and groups engaging in discussions around the book. -
Pregunta:
Where can I buy 'Automating Inequality'?
Respuesta: 'Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor' can be conveniently purchased on Ubuy. The platform offers a straightforward shopping experience, allowing you to find the book while ensuring it meets your purchase criteria. Ubuy frequently stocks the latest editions, and you can easily browse through various other related books and resources on social justice and technology at their site.
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características y beneficios
- Award-winning exploration of technology's impact on the disadvantaged.
- Investigates data mining and algorithms affecting the poor.
- Reveals systemic discrimination in healthcare, housing, and welfare.
- Highlights real stories of individuals facing automated injustices.
- Critiques how technology obscures poverty from public view.
- Calls for ethical reconsideration of automated decision-making.
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