From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce white supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era.

Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.

We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.

Since the dawn of the digital age, decision-making in finance, politics, health, and human services has undergone revolutionary change. Today, automated systems 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.

This book explores the theory and practice of design justice, demonstrates how universalist design principles and practices erase certain groups of people - specifically, those who are intersectionally disadvantaged or multiply burdened under the matrix of domination (white supremacist heteropatriarchy, ableism, capitalism, and settler colonialism) - and invites listeners to "build a better world, a world where many worlds fit; linked worlds of collective liberation and ecological sustainability".

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration.

Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, treating men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women.

Today's feminist movement has a glaring blind spot, and paradoxically, it is women. Mainstream feminists rarely talk about meeting basic needs as a feminist issue, argues Mikki Kendall, but food insecurity, access to quality education, safe neighborhoods, a living wage, and medical care are all feminist issues. All too often, however, the focus is not on basic survival for the many, but on increasing privilege for the few. Author Mikki Kendall takes aim at the legitimacy of the modern feminist movement arguing that it has chronically failed to address the needs of all but a few women.

Long before the pandemic, Ruha Benjamin was doing groundbreaking research on race, technology, and justice, focusing on big, structural changes. But the twin plagues of COVID-19 and anti-Black police violence inspired her to rethink the importance of small, individual actions. Part memoir, part manifesto, Viral Justice is a sweeping and deeply personal exploration of how we can transform society through the choices we make every day.

Everyone needs to love and be loved - even men. But to know love, men must be able to look at the ways that patriarchal culture keeps them from knowing themselves, from being in touch with their feelings, from loving. In The Will to Change, bell hooks gets to the heart of the matter and shows men how to express the emotions that are a fundamental part of who they are - whatever their age, marital status, ethnicity, or sexual orientation.

Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.

Shame is a powerful and sometimes useful tool: When we publicly shame corrupt politicians, abusive celebrities, or predatory corporations, we reinforce values of fairness and justice. But as Cathy O’Neil argues in this revelatory book, shaming has taken a new and dangerous turn. It is increasingly being weaponized—used as a way to shift responsibility for social problems from institutions to individuals.

Hidden beneath the surface of the internet, a new, stark reality is looming - one that cuts to the very heart of our endless debates about the impact of AI. Anthropologist Mary L. Gray and computer scientist Siddharth Suri team up to unveil how services delivered by companies like Amazon, Google, Microsoft, and Uber can only function smoothly thanks to the judgment and experience of a vast, invisible human labor force. These people doing "ghost work" make the internet seem smart. An estimated 8 percent of Americans have worked at least once in this "ghost economy".

Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us ask how all these digital products are designed, or why. It's time we change that. Many of the services we rely on are full of oversights, biases, and downright ethical nightmares. Chatbots that harass women. Signup forms that fail anyone who's not straight. Social media sites that send peppy messages about dead relatives. Algorithms that put more black people behind bars.

Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.

Misogyny is a hot topic, yet it's often misunderstood. What is misogyny, exactly? Who deserves to be called a misogynist? How does misogyny contrast with sexism, and why is it prone to persist - or increase - even when sexist gender roles are waning? This book is an exploration of misogyny in public life and politics by the moral philosopher Kate Manne. It argues that misogyny should not be understood primarily in terms of the hatred or hostility some men feel toward all or most women. Rather, it's primarily about controlling, policing, punishing, and exiling the "bad" women.

This is a manifesto for the 99 percent. Unaffordable housing, poverty wages, inadequate healthcare, border policing, climate change - these are not what you ordinarily hear feminists talking about. But aren't they the biggest issues for the vast majority of women around the globe? This manifesto makes a simple but powerful case: feminism shouldn't start, or stop, with the drive to have women represented at the top of their professions. It must focus on those at the bottom and fight for the world they deserve. Feminism must be anti-capitalist, eco-socialist, and anti-racist.

Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, treating men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women.