We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

We live in a world that’s obsessed with talent. We celebrate gifted students in school, natural athletes in sports, and child prodigies in music. But admiring people who start out with innate advantages leads us to overlook the distance we ourselves can travel. We underestimate the range of skills that we can learn and how good we can become. We can all improve at improving. And when opportunity doesn’t knock, there are ways to build a door.

When Elon Musk was a kid in South Africa, he was regularly beaten by bullies. One day a group pushed him down some concrete steps and kicked him until his face was a swollen ball of flesh. He was in the hospital for a week. But the physical scars were minor compared to the emotional ones inflicted by his father, an engineer, rogue, and charismatic fantasist.

When Michael Lewis first met him, Sam Bankman-Fried was the world’s youngest billionaire and crypto’s Gatsby. CEOs, celebrities, and leaders of small countries all vied for his time and cash after he catapulted, practically overnight, onto the Forbes billionaire list. Who was this rumpled guy in cargo shorts and limp white socks, whose eyes twitched across Zoom meetings as he played video games on the side?

Robert Sapolsky’s Behave, his now classic account of why humans do good and why they do bad, pointed toward an unsettling conclusion: We may not grasp the precise marriage of nature and nurture that creates the physics and chemistry at the base of human behavior, but that doesn’t mean it doesn’t exist. Now, in Determined, Sapolsky takes his argument all the way, mounting a brilliant (and in his inimitable way, delightful) full-frontal assault on the pleasant fantasy that there is some separate self telling our biology what to do.

Katalin Karikó has had an unlikely journey. The daughter of a butcher in postwar communist Hungary, Karikó grew up in an adobe home that lacked running water, and her family grew their own vegetables. She saw the wonders of nature all around her and was determined to become a scientist. That determination eventually brought her to the United States, where she arrived as a postdoctoral fellow in 1985 with $1,200 sewn into her toddler’s teddy bear and a dream to remake medicine.

Many of us dread having to convey our ideas to others, often feeling ill-equipped, anxious, and awkward. Public speaking experts help by focusing on planned communication experiences such as slide presentations, pitches, or formal talks. Yet, most of our professional and personal communication occurs in spontaneous situations that creep up on us and all too often leave us flustered and stumbling for words. Stanford lecturer, podcast host, and communication expert Matt Abrahams provides tangible, actionable skills to help even the most anxious of speakers succeed when speaking spontaneously.

As David Brooks observes, “There is one skill that lies at the heart of any healthy person, family, school, community organization, or society: the ability to see someone else deeply and make them feel seen—to accurately know another person, to let them feel valued, heard, and understood.” And yet we humans don’t do this well. All around us are people who feel invisible, unseen, misunderstood. In How to Know a Person, Brooks sets out to help us do better, posing questions that are essential for all of us: If you want to know a person, what kind of attention should you cast on them?

Why we think it’s a great listen: You thought he was a stodgy scientist with funny hair, but Isaacson and Hermann reveal an eloquent, intense, and selfless human being who not only shaped science with his theories, but politics and world events in the 20th century as well. Based on the newly released personal letters of Albert Einstein, Walter Isaacson explores how an imaginative, impertinent patent clerk became the mind reader of the creator of the cosmos.

New York Times tech reporter Kashmir Hill was skeptical when she got a tip about a mysterious app called Clearview AI that claimed it could, with 99 percent accuracy, identify anyone based on just one snapshot of their face. The app could supposedly scan a face and, in just seconds, surface every detail of a person’s online life: their name, social media profiles, friends and family members, home address, and photos that they might not have even known existed.

Hailed by Ken Burns as one of the foremost “explainers” of technology and its effect throughout history, Tom Wheeler now turns his gaze to the public impact of entrepreneurial innovation. In Techlash, he connects the experiences of the late 19th century’s industrial Gilded Age with its echoes in the 21st century digital Gilded Age. In both cases, technology innovation and the great wealth that it created ran up against the public interest and the rights of others.

What is “being geeky?” It’s being a perennially curious person, one who's not afraid to tackle hard problems and embrace unconventional solutions. McAfee shows how the geeks have created a new culture based around four norms: science, ownership, speed, and openness. The geek way seems odd at first. It's not deferential to experts, fond of planning and process, afraid of mistakes, or obsessed with "winning." But it explains everything from why Montessori babies turn out to be creative tinkerers to how newcomers are disrupting industry after industry (and still just getting started).

Rana el Kaliouby is a rarity in both the tech world and her native Middle East: a Muslim woman in charge in a field that is still overwhelmingly white and male. Growing up in Egypt and Kuwait, el Kaliouby was raised by a strict father who valued tradition - yet also had high expectations for his daughters - and a mother who was one of the first female computer programmers in the Middle East. Even before el Kaliouby broke ground as a scientist, she broke the rules of what it meant to be an obedient daughter and, later, an obedient wife to pursue her own daring dream.

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.

When a mysterious stranger unveils a long-hidden truth, Lauren Malloy’s life is thrown into chaos. For years, Lauren believed her mother, Lori, died of natural causes, but the shocking reality is that her loving mother was brutally murdered when Lauren was just an infant. Now, 30 years later, Lauren is on a relentless quest for justice. Over the past four years, she’s embarked on an emotional journey filled with unexpected twists, recording hundreds of hours of interviews with law enforcement, family, friends, and even potential suspects.

Farewell Yellow Brick Road is a celebration of Elton John's record-breaking, globe-spanning farewell tour—from Allentown to Auckland, from Sydney to San Francisco. Featured concerts include Elton’s dazzling performances at Los Angeles’ Dodger Stadium in November 2022, the finale of which streamed live on Disney+. Fans will be treated to a behind-the-scenes glimpse into every aspect of these spectacular shows, including Elton’s legendary touring wardrobe by Gucci, the set design, official photography, and more.

In this award-winning Audible Studios production, Trevor Noah tells his wild coming-of-age tale during the twilight of apartheid in South Africa. It’s a story that begins with his mother throwing him from a moving van to save him from a potentially fatal dispute with gangsters, then follows the budding comedian’s path to self-discovery through episodes both poignant and comical.

It’s 2006. After a string of rejections from men who tell her they could never, ever, ever see her “that way,” awkward third-grade teacher Micaela Blei signs up for a mysterious course called “The Divine Feminine,” and feels like she might have found the key to the perfect life. Turns out if you’re an A student, you can get an A in anything–including men. Pretty soon she’s learning to "conjure" her desires with vision boards, flirtations, and even a daring jumbotron viewing party for her, ahem ... "divine center."

When Michael Lewis first met him, Sam Bankman-Fried was the world’s youngest billionaire and crypto’s Gatsby. CEOs, celebrities, and leaders of small countries all vied for his time and cash after he catapulted, practically overnight, onto the Forbes billionaire list. Who was this rumpled guy in cargo shorts and limp white socks, whose eyes twitched across Zoom meetings as he played video games on the side?

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

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.

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.

High-tech innovations are created at a dazzling speed, and it all points to a world that is getting faster at a dizzying pace. Azeem Azhar knows this better than most. Over the last three decades, he has founded companies bought by Amazon and Microsoft, served as the Economist’s first ever internet correspondent, and created a leading international tech newsletter and podcast, the Exponential View. Now, Azhar offers a revelatory new model for understanding how technology is changing the world.

Whether we like it or not, the AI revolution is coming to education. In Brave New Words, Salman Khan, the visionary behind Khan Academy, explores how artificial intelligence and GPT technology will transform learning, and offers a road map for teachers, parents, and students to navigate this exciting (and sometimes intimidating) new world. A pioneer in the field of education technology, Khan examines the ins and outs of these cutting-edge tools and how they will revolutionize the way we learn and teach.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Including letters, speeches, articles, and essays written before 1935, this collection offers a complete portrait of Einstein as a humanitarian and as a human being trying to make sense of the world changing around him.

Since it was first published in 2005, Ray Kurzweil's The Singularity Is Near and its vision of the future have been influential in spawning a worldwide movement with millions of followers, hundreds of books, major films, and thousands of articles. During the succeeding decade, many of Kurzweil's predictions about technological advancements have been borne out, and their viability has become familiar to the public through such now commonplace concepts. In this entirely new book Ray Kurzweil brings a fresh perspective to advances in the singularity.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

What is life? In this penetrating and wide-ranging book, world-renowned physicist and science communicator Paul Davies searches for answers in a field so new and fast-moving that it lacks a name; it is a domain where biology, computing, logic, chemistry, quantum physics, and nanotechnology intersect.

Equal parts Sapiens, Behave, and Superintelligence, but wholly original in scope, A Brief History of Intelligence offers a paradigm shift for how we understand neuroscience and AI. Artificial intelligence entrepreneur Max Bennett chronicles the five “breakthroughs” in the evolution of human intelligence and reveals what brains of the past can tell us about the AI of tomorrow.

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.