Automating Inequality

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.

Reveals a remarkable woman’s life and her contributions to social justice movements related to Civil Rights, feminism, lesbian and gay liberation, anti-racism, and Black feminism. As an organizer, writer, publisher, scholar-activist, and elected official, Barbara Smith has played key roles in multiple social justice movements, including Civil Rights, feminism, lesbian and gay liberation, anti-racism, and Black feminism. Her four decades of grassroots activism forged collaborations that introduced the idea that oppression must be fought on a variety of fronts simultaneously, including gender, race, class, and sexuality. By combining hard-to-find historical documents with new unpublished interviews with fellow activists, this book uncovers the deep roots of today’s “identity politics” and “intersectionality” and serves as an essential primer for practicing solidarity and resistance. “Barbara Smith is a creator of modern feminism as a writer, organizer, editor, publisher, and scholar. Now she has added to her decades as an activist outside the system by becoming an elected official who truly listens, represents, and creates bridges to a common good. She has shown us that democracy is a seed that can only be planted where we are.” — Gloria Steinem “Barbara Smith is one of the grand pioneering and prophetic voices of our time. Her truth still hurts and heals!” — Cornel West “Ain’t Gonna Let Nobody Turn Me Around is not a memoir, a biography, nor a reader. It is a reflection and a conversation. It is also a montage of forty years of documents, interviews, and articles that provide useful lessons for social justice work. This book is a tour de force that documents the life’s work of Barbara Smith and the freedom struggles she shaped.” — Duchess Harris, author of Black Feminist Politics from Kennedy to Obama

This open access book examines the future of inequality, work and wages in the age of automation with a focus on developing countries. The authors argue that the rise of a global ‘robot reserve army’ has profound effects on labor markets and economic development, but, rather than causing mass unemployment, new technologies are more likely to lead to stagnant wages and premature deindustrialization. The book illuminates the debate on the impact of automation upon economic development, in particular issues of poverty, inequality and work. It highlights public policy responses and strategies–ranging from containment to coping mechanisms—to confront the effects of automation.

Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author

A practical, deeply reported survival guide for the age of AI, written by the New York Times tech columnist who has introduced millions to the promise and pitfalls of artificial intelligence. “Artificial intelligence can be terrifying, but Kevin Roose provides a clear, compelling strategy for surviving the next wave of technology with our jobs—and souls—intact.”—Charles Duhigg, author of The Power of Habit It’s time to get real about AI. After decades of hype and sci-fi fantasies, AI—artificial intelligence—is leaping out of research labs and into the center of our lives. Millions of people now use tools like ChatGPT and DALL-E 2 to write essays, create art and finish coding projects. AI programs are already beating humans in fields like law, medicine and entertainment, and they’re getting better every day. But AI doesn’t just threaten our jobs. It shapes our entire human experience, steering our behavior and influencing our choices about which TV shows to watch, which clothes to buy, and which politicians to vote for. And while many experts argue about whether a robot apocalypse is near, one critical question has gone unanswered: In a world where AI is ascendant, how can humans survive and thrive? In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose shares the secrets of people and organizations that have successfully navigated waves of technological change, and explains what skills are necessary to stay ahead of the curve today, with lessons like • Be surprising, social, and scarce • Resist machine drift • Leave handprints • Demote your devices • Treat AI like a chimp army Roose rejects the conventional wisdom that in order to compete with AI, we have to become more like robots ourselves—hyper-efficient, data-driven workhorses. Instead, he says, we should focus on being more human, and doing the kinds of creative, inspiring, and meaningful things even the most advanced algorithms can’t do.

What if the idealized image of American societya land of opportunity that will reward hard work with economic successis completely wrong? Few topics have as many myths, stereotypes, and misperceptions surrounding them as that of poverty in America. The poor have been badly misunderstood since the beginnings of the country, with the rhetoric only ratcheting up in recent times. Our current era of fake news, alternative facts, and media partisanship has led to a breeding ground for all types of myths and misinformation to gain traction and legitimacy. Poorly Understood is the first book to systematically address and confront many of the most widespread myths pertaining to poverty. Mark Robert Rank, Lawrence M. Eppard, and Heather E. Bullock powerfully demonstrate that the realities of poverty are much different than the myths; indeed in many ways they are more disturbing. The idealized image of American society is one of abundant opportunities, with hard work being rewarded by economic prosperity. But what if this picture is wrong? What if poverty is an experience that touches the majority of Americans? What if hard work does not necessarily lead to economic well-being? What if the reasons for poverty are largely beyond the control of individuals? And if all of the evidence necessary to disprove these myths has been readily available for years, why do they remain so stubbornly pervasive? These are much more disturbing realities to consider because they call into question the very core of America's identity. Armed with the latest research, Poorly Understood not only challenges the myths of poverty and inequality, but it explains why these myths continue to exist, providing an innovative blueprint for how the nation can move forward to effectively alleviate American poverty.

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

Automation and Its Macroeconomic Consequences reveals new ways to understand the economic characteristics of our increasing dependence on machines. Illuminating technical and social elements, it describes economic policies that could counteract negative income distribution consequences of automation without hampering the adoption of new technologies. Arguing that modern automation cannot be compared to the Industrial Revolution, it considers consequences of automation such as spatial patterns, urbanization, and regional concerns. In touching upon labor, growth, demographic, and policy, Automation and its Macroeconomic Consequences stands at the intersection of technology and economics, offering a comprehensive portrait illustrated by empirical observations and examples. Introduces formal growth models that include automation and the empirical specifications on which the data-driven results rely Focuses on formal modeling, empirical analysis and derivation of evidence-based policy conclusions Considers consequences of automation, such as spatial patterns, urbanization and regional concerns