As Mark Zuckerberg once put it, "the Age of Privacy is over." But Zuckerberg and others who say "privacy is dead" are wrong. In Why Privacy Matters, Neil Richards explains that privacy isn't dead, but rather up for grabs. Richards shows how the fight for privacy is a fight for power. If we want to preserve our commitments to these precious yet fragile values, we will need privacy rules. Pithy and forceful, this is a must-listen for anyone interested in a topic that sits at the center of so many current problems. 

Few of us give much thought to computer code or how it comes to be. The very word “code” makes it sound immutable or even inevitable. “You Are Not Expected to Understand This” demonstrates that, far from being preordained, computer code is the result of very human decisions, ones we all live with when we use social media, take photos, drive our cars, and engage in a host of other activities.

Imagine a world where your brain can be interrogated to learn your political beliefs, your thoughts can be used as evidence of a crime, and your own feelings can be held against you. A world where people who suffer from epilepsy receive alerts moments before a seizure, and the average person can peer into their own mind to eliminate painful memories or cure addictions.

Much has been written about the challenges tech presents to equality and democracy. But we can either criticize big data and automation or steer it to do better. Lobel makes a compelling argument that while we cannot stop technological development, we can direct its course according to our most fundamental values. With provocative insights in every chapter, Lobel masterfully shows that digital technology frequently has a comparative advantage over humans.

Digital connections permeate our lives - and so do data breaches. Given that we must be online for basic communication, finance, healthcare, and more, it is remarkable how difficult it is to secure our personal information. Despite the passage of many data security laws, data breaches are increasing at a record pace. In Breached!, Daniel Solove and Woodrow Hartzog, two of the world’s leading experts on privacy and data security issues, argue that the law fails because, ironically, it focuses too much on the breach itself.

The word "glitch" implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery—what if they're coded into the system itself? Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology.

The Age of Surveillance Capitalism is neither a hand-wringing narrative of danger and decline nor a digital fairy tale. Rather, it offers a deeply reasoned and evocative examination of the contests over the next chapter of capitalism that will decide the meaning of information civilization in the 21st century. The stark issue at hand is whether we will be the masters of information and machines or its slaves.

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.  

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.  

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.

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.

"No provider or user of an interactive computer service shall be treated as the publisher or speaker of any information provided by another information content provider." Did you know that these 26 words are responsible for much of America's multibillion-dollar online industry? What we can and cannot write, say, and do online is based on just one law - a law that protects online services from lawsuits based on user content. Jeff Kosseff exposes the workings of section 230 of the Communications Decency Act, which has lived mostly in the shadows since its enshrinement in 1996.

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 facial recognition—capable of checking us onto flights or identifying undocumented residents—to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn't just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search.

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology.