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.

Are you feeling lost in the labyrinth of Medicare? You're not alone. But imagine if you had an audiobook to guide you, making the convoluted world of Medicare clear and accessible. David Whitehead's The Ultimate Medicare Guidebook is that lifeline. With unmatched expertise, David simplifies Medicare, turning confusion into clarity.

The Propagandists' Playbook peels back the layers of the right-wing media manipulation machine to reveal why its strategies are so effective and pervasive, while also humanizing the people whose worldviews and media practices conservatism embodies.

Throughout history, technological change — whether it takes the form of agricultural improvements in the Middle Ages, the Industrial Revolution, or today’s artificial intelligence — has been viewed as a main driver of prosperity, working in the public interest. The reality, though, is that technology is shaped by what powerful people want and believe, generating riches, social respect, cultural prominence, and further political voice for those already powerful. For most of the rest of us, there is the illusion of progress.

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.

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 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.

In The United States of Anonymous, Jeff Kosseff explores how the right to anonymity has shaped American values, politics, business, security, and discourse, particularly as technology has enabled people to separate their identities from their communications.

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.

New York Times best-selling author Dan Heath examines how to prevent problems before they happen, drawing on insights from his innovative behavior research, as well as hundreds of new interviews with unconventional problem solvers. Most of us spend our days handling a deluge of pressing issues. We’re so accustomed to managing emergencies as they strike that we often don’t stop to think about how we could prevent crises before they happen. Why stop at treating the symptoms when you could develop a cure?

The world's greatest problem-solvers, forecasters, and decision-makers all rely on a set of frameworks and shortcuts that help them cut through complexity and separate good ideas from bad ones. They're called mental models, and you can find them in dense textbooks on psychology, physics, economics, and more. Or, you can just listen to Super Thinking, a fun, illustrated guide to every mental model you could possibly need.

Jamie Merisotis, author of the award-winning 2016 book America Needs Talent, argues that people will coexist with smart machines by learning, earning, and serving others over their lifetimes. But Merisotis asserts large-scale change is necessary to develop and hone the knowledge, skills, and abilities that render us uniquely human. These qualities include compassion, critical thinking, ethical reasoning, and interpersonal communication.

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

When COVID-19 broke out, Dr. Aaron Kheriaty’s work put him on the front lines. Realizing that the mental, physical, and economic toll of lockdowns was catastrophic, he began to protest that the cure was worse than the disease—an intolerable heresy. When he refused vaccination because he had natural immunity from a previous infection, the University of California, Irvine, medical school fired him. He fought back, in the courts and in the media, and has become a reliable source of truth amid official obfuscation and censorship.

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.