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.

Long-haul truckers are the backbone of the American economy, transporting goods under grueling conditions and immense economic pressure. Truckers have long valued the independence of their work, sharing a strong occupational identity rooted in a tradition of autonomy. Yet these workers increasingly find themselves under many watchful eyes. Data Driven examines how digital surveillance is upending life and work on the open road, and raises crucial questions about the role of data collection in broader systems of social control.

Historically, competition has powered progress under capitalism. Companies with productive new products rise to the top, but sooner or later, competitors come along with better innovations and disrupt the threat of monopoly. Dominant firms like Walmart, Amazon, and Google argue that this process of “creative destruction” prevents them from becoming too powerful or entrenched. But the threat of competition has sharply decreased over the past twenty years, and today’s corporate giants have come to power by using proprietary information technologies to create a tilted playing field.

In this book, Lamdan contends that privatization and tech exceptionalism have prevented us from creating effective legal regulation. This, in turn, has allowed oversized information oligopolies to coalesce. In addition to specific legal and market-based solutions, Lamdan calls for treating information like a public good and creating digital infrastructure that supports our democratic ideals.

The future of finance–the way Wall Street operates and how individuals manage their money–is on the verge of upheaval. And the force underlying the change comes from China, where finance and technology are being merged into a system with consequences that resonate far beyond China’s border. The changes of this global revolution in finance and technology–fintech–will be as powerful as those wrought in social media, retailing and advertising by giants such as Amazon, Facebook, Google, and Twitter, which have overturned how we shop and communicate.

In Trafficking Data, Aynne Kokas looks at how technology firms in the two largest economies in the world, the United States and China, have exploited government policy (and the lack thereof) to gather information on citizens, putting US national security at risk. Kokas argues that US government leadership failures, Silicon Valley's disruption fetish, and Wall Street's addiction to growth have fueled China's technological goldrush. 

When we make decisions, our thinking is informed by societal norms, “guardrails” guiding our decisions, like the laws and rules that govern us. But what are good guardrails in today’s world of overwhelming information flows and increasingly powerful technologies, such as artificial intelligence? Based on the latest insights from the cognitive sciences, economics, and public policy, Guardrails offers a novel approach to shaping decisions by embracing human agency in its social context.

Why is the internet so broken, and what could ever possibly fix it? In Internet for the People, leading tech writer Ben Tarnoff offers an answer. The internet is broken, he argues, 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. It's time to demand an internet by and for the people.

It seems that just about every new technology that we bring to bear on improving our lives brings with it some downside, side effect, or unintended consequence. These issues can pose very real and growing ethical problems for all of us. For example, automated facial recognition can make life easier and safer for us—but it also poses huge issues with regard to privacy, ownership of data, and even identity theft. Technology Is Not Neutral addresses one of today’s most pressing problems: How to create and use tools and technologies to maximize benefits and minimize harms.

Since the Supreme Court's 1984 decision in Chevron v. Natural Resources Defense Council, this judicial review has been highly deferential: courts must uphold agency interpretations of unclear laws as long as these interpretations are "reasonable." But the Chevron doctrine faces backlash from constitutional scholars and, now, from Supreme Court justices who insist that courts, not administrative agencies, have the authority to say what the law is. Recognizing that Congress cannot help relying on agencies to carry out laws, Merrill rejects the notion of discarding the administrative state.