In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

A vast and largely unseen transformation of how war is fought as profound as the invention of gunpowder or advent of the nuclear age is occurring. Flying cars that can land like helicopters, artificial intelligence-powered drones that can fly into buildings and map their interiors, microsatellites that can see through clouds and monitor rogue missile sites—all these and more are becoming part of America’s DIU-fast-tracked arsenal. Until recently, the Pentagon was known for its uncomfortable relationship with Silicon Valley and for slow-moving processes that acted as a brake on innovation.

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.

The War Below reveals the explosive brawl among industry titans, conservationists, community groups, policymakers, and many others over whether the habitats of rare plants, sensitive ecosystems, Indigenous holy sites, and other places should be dug up for their riches.

From veteran Amazon reporter for The Wall Street Journal, The Everything War is the first untold, devastating exposé of Amazon's endless strategic greed, from destroying Main Street to remaking corporate power, in pursuit of total domination, by any means necessary.

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.

John Kay's incisive overhaul of our ideas about business redefines our understanding of successful commercial activity and the corporation—and describes how we have come to "love the product" as we "hate the producer." This is a brilliant and original work from one of the greatest economists.

From the Pulitzer Prize-winning reporters behind the 2018 bombshell New York Times exposé of then-President Trump’s finances, an explosive investigation into the history of Donald Trump’s wealth, revealing how exactly one of the country’s biggest business failures lied his way into the White House.

Few billionaires have been in the public eye for as long, and in as many guises, as Bill Gates. At first heralded as a tech visionary, the Microsoft cofounder next morphed into a ruthless capitalist, only to change yet again when he fashioned himself into a global do-gooder. Along the way, Gates forever influenced how we think about tech founders, as the products they make and the ideas they sell continue to dominate our lives. Through the Bill & Melinda Gates Foundation, he also set a new standard for high-profile, billionaire philanthropy.

In November 2022, a webpage was posted online with a simple text box. It was ChatGPT, and was unlike any app people had used before. It was more human than a customer service agent, more convenient than a Google search. Behind the scenes, battles for control and prestige between the world’s two leading AI firms, OpenAI and DeepMind, who now steers Google's AI efforts, has remained elusive—until now.

On the surface, a British poet, an UberEats courier in Pittsburgh, an Indian doctor, and a Chinese activist in exile have nothing in common. But they are in fact linked by a profound common experience—unexpected encounters with artificial intelligence. In Code Dependent, Murgia shows how automated systems are reshaping our lives all over the world, from technology that marks children as future criminals, to an app that is helping to give diagnoses to a remote tribal community.

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.

We used to think of failure as the opposite of success. Now, we’re often torn between two “failure cultures”: one that says to avoid failure at all costs, the other that says fail fast, fail often. The trouble is that both approaches lack the crucial distinctions to help us separate good failure from bad. As a result, we miss the opportunity to fail well. After decades of award-winning research, Amy Edmondson is here to upend our understanding of failure and make it work for us. In Right Kind of Wrong, Edmondson provides the framework to think, discuss, and practice failure wisely.

Ever since he was a kid, kicking broken soccer balls on the run-down streets of East London, Gary Stevenson dreamed of something bigger. As luck would have it, he was good at numbers. At the London School of Economics, wearing tracksuits and sneakers, Stevenson shocked his posh classmates by winning a competition called “The Trading Game.” The prize? A golden ticket to a new life, as the youngest trader at Citibank.

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.

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.

Yet prosperity has come at a price: environmental destruction, desolation of local cultures, the rise of vast inequalities, and destabilizing technologies. Faced with such damage, many now claim that the only way forward is through "degrowth," deliberately shrinking our economic footprint. Instead, Daniel Susskind argues, we must keep growth but redirect it, making it better reflect what we truly value.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

Unequal access to technology and the revenue it creates is one of the most pressing issues in the United States. An economic gulf exists between those who have struck gold in the tech industry and those left behind by the digital revolution; a geographic divide between those in the coastal tech industry and those in the heartland whose jobs have been automated; and existing inequalities in the technological access—students without computers, rural workers with spotty WiFi, and many workers without the luxury to work remotely.

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.

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.