A revealing and gripping investigation into how social media platforms police what we post online—and the large societal impact of these decisions

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.

We have been underselling the future. In fact, the future will be neither dystopia nor utopia (which is an actively harmful dichotomy) — it will be what we do the work to make it. And the best way to the brightest future is to focus on what we CAN do, and make sure we are working to get there.

A forward-thinking manifesto from three Stanford professors—experts who have worked at ground zero of the tech revolution for decades—which reveals how big tech’s obsession with optimization and efficiency has sacrificed fundamental human values and outlines steps we can take to change course, renew our democracy, and save ourselves.

In Rules for a Flat World, Gillian Hadfield argues that the legal rules that currently guide global integration are no longer working. They are too slow, costly, and localized for increasingly complex advanced economies, and fail to address issues such as poverty, instability, and oppression for the billions living in the developing world. Hadfield proposes a new set of rules that enhance complex societies and economic interdependence and makes the case for building a more agile infrastructure.

Not since the Age of Reason have we re-envisioned our approach to economics, order, security, and even knowledge itself. Now, the Age of AI is changing nearly everything about how we navigate the world — and what it means to be human.

The internet is broken because it is owned by private firms and run for profit. Google annihilates your privacy and Facebook amplifies right-wing propaganda because it is profitable to do so. But the internet wasn't always like this. Tarnoff tells the story of the privatization that made the modern internet, and which set in motion the crises that consume it today.

An exploration of how design might be led by marginalized communities, dismantle structural inequality, and advance collective liberation and ecological survival.

CODED BIAS explores the fallout of MIT Media Lab researcher Joy Buolamwini’s discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all.

Automating Inequality systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.

In Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence Crawford reveals how the global networks underpinning AI technology are damaging the environment, entrenching inequality, and fuelling a shift toward undemocratic governance.

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms

The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control our behavior.

A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric.