User Profile

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. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life.

This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture.

Why our workplaces are authoritarian private governments--and why we can't see it

One in four American workers says their workplace is a "dictatorship." Yet that number almost certainly would be higher if we recognized employers for what they are--private governments with sweeping authoritarian power over our lives. Many employers minutely regulate workers' speech, clothing, and manners on the job, and employers often extend their authority to the off-duty lives of workers, who can be fired for their political speech, recreational activities, diet, and almost anything else employers care to govern. In this compelling book, Elizabeth Anderson examines why, despite all this, we continue to talk as if free markets make workers free, and she proposes a better way to think about the workplace, opening up space for discovering how workers can enjoy real freedom.

SOUTHERN BASTARDS meets American Gods in a high-stakes fantasy series that masterfully blends high-octane action and jaw-dropping worldbuilding.

In GOD COUNTRY, readers meet Emmett Quinlan, an old widower rattled by dementia. Emmett isn't just a problem for his children—his violent outbursts are more than the local cops can handle. When a tornado levels his home—as well as the surrounding West Texas town—a restored Quinlan rises from the wreckage.

An enchanted sword at the eye of the storm gives him more than a sound mind and body, however. He's now the only man who can face these otherworldly creatures the sword has drawn down to the Lone Star State…

In GOD COUNTRY salvation is a double-edged sword.

A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric

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

But as Cathy O’Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his zip code), he’s then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a “toxic cocktail for democracy.” Welcome to the dark side of Big Data.

Tracing the arc of a person’s life, O’Neil exposes the black box models that shape our future, both as individuals and as a society. These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.

O’Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it’s up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.

— Longlist for National Book Award (Non-Fiction) — Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology) — Kirkus, Best Books of 2016 — New York Times, 100 Notable Books of 2016 (Non-Fiction) — The Guardian, Best Books of 2016 — WBUR’s “On Point,” Best Books of 2016: Staff Picks — Boston Globe, Best Books of 2016, Non-Fiction