Automating Inequality

Automating Inequality examines three case studies where automated decision-making systems and algorithms have been deployed to determine access to social services. The book investigates welfare programs in Indiana, homeless services in Los Angeles, and child protective services in Pennsylvania. Through interviews and research, Virginia Eubanks documents how these technological systems impact low-income and working-class communities. She traces the historical roots of "scientific charity" and shows how modern digital tools continue patterns of surveillance and punishment of the poor. The author combines data analysis with personal narratives from individuals caught in these automated systems. Her investigation reveals how algorithms can amplify existing biases and create new barriers for vulnerable populations seeking assistance. The book raises fundamental questions about fairness, privacy, and human rights in an age of increasing automation. At its core, it challenges readers to consider the relationship between technology, poverty, and social justice in America.

Readers describe the book as an evidence-based examination of how automated systems and algorithms affect poor and working-class people. Many note it provides concrete examples through three detailed case studies. Readers appreciated: - Clear explanations of complex technical concepts - Extensive research and interviews with affected individuals - Focus on real human impact rather than abstract theory - Practical policy recommendations Common criticisms: - Writing can be repetitive - Case studies sometimes feel too long - Could include more diverse geographic examples - Some readers wanted deeper technical analysis Ratings: Goodreads: 4.1/5 (3,200+ ratings) Amazon: 4.4/5 (280+ ratings) Notable reader comments: "Documents what many of us in social services already knew but couldn't prove" - Goodreads reviewer "Important topic but gets bogged down in details" - Amazon reviewer "Changed how I think about technology in government services" - LibraryThing reviewer

Weapons of Math Destruction by Cathy O'Neil Mathematical models and algorithms perpetuate discrimination and inequality through automated decision-making systems in employment, education, and criminal justice.

Algorithms of Oppression by Safiya Noble Search engines and data systems embed racial and gender biases that harm marginalized communities while reinforcing existing power structures.

The Age of Surveillance Capitalism by Shoshana Zuboff Technology companies extract personal data to predict and modify human behavior, creating new forms of social control and inequality.

Race After Technology by Ruha Benjamin Technology and automation perpetuate racial discrimination through seemingly neutral systems and tools used in healthcare, law enforcement, and social services.

Digital Dead End by Virginia Eubanks Low-income communities face barriers to technological access and inclusion while bearing the burden of invasive digital surveillance and monitoring.

🔍 The author conducted research for this book while living in a taxi-turned-RV, traveling across America to investigate different automated systems firsthand. 📊 The digital tools examined in the book affect over 830,000 people in Los Angeles County alone through automated welfare eligibility systems. 💻 One of the predictive models discussed in the book, the Allegheny Family Screening Tool, uses over 100 variables to determine child welfare risk scores. 🏆 The book won the 2018 McGannon Center Book Prize and was shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice. 🎓 Virginia Eubanks drew inspiration for this work from her experience teaching at a women's college for welfare recipients in Troy, New York, where she witnessed firsthand how technology affected their lives.