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.

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.

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.

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.

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.

A good book may have the power to change the way we see the world, but a great book actually becomes part of our daily consciousness, pervading our thinking to the point that we take it for granted, and we forget how provocative and challenging its ideas once were - and still are. The Structure of Scientific Revolutions is that kind of book.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

A physician reveals how right-wing backlash policies have mortal consequences - even for the white voters they promise to help.

A bold call to reexamine how our government operates—and sometimes fails to—from President Obama’s former deputy chief technology officer and the founder of Code for America.

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.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

The daughter of immigrants and civil rights activists, Vice President Kamala Harris was raised in an Oakland, California, community that cared deeply about social justice. As she rose to prominence as one of the political leaders of our time, her experiences would become her guiding light as she grappled with an array of complex issues and learned to bring a voice to the voiceless. In The Truths We Hold, she reckons with the big challenges we face together.

The United States, the richest country on earth, has more poverty than any other advanced democracy. Why? Why does this land of plenty allow one in every eight of its children to go without basic necessities, permit scores of its citizens to live and die on the streets, and authorize its corporations to pay poverty wages?

“Identity politics” is everywhere, polarizing discourse from the campaign trail to the classroom. But the “identity politics” so compulsively referenced bears little resemblance to the concept as first introduced by the radical Black feminist Combahee River Collective. While the Collective articulated a political viewpoint grounded in their own position as Black lesbians with the explicit aim of building solidarity across lines of difference, “identity politics” is now frequently weaponized as a means of closing ranks around ever-narrower conceptions of group interests.

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.

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.

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.

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.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.