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.

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.

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?

We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce white supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era.

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.

In 2021 cryptocurrency went mainstream. Giant investment funds were buying it, celebrities like Tom Brady endorsed it, and TV ads hailed it as the future of money. Hardly anyone knew how it worked—but why bother with the particulars when everyone was making a fortune from Dogecoin, Shiba Inu, or some other bizarrely named “digital asset”? As he observed this frenzy, investigative reporter Zeke Faux had a nagging question: Was it all just a confidence game of epic proportions? What started as curiosity—with a dash of FOMO—would morph into a two-year globe-spanning quest.

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.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

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.

Does your job make a meaningful contribution to the world? In the spring of 2013, David Graeber asked this question in a playful, provocative essay titled “On the Phenomenon of Bullshit Jobs”. It went viral. After a million online views in 17 different languages, people all over the world are still debating the answer.

You may be surprised to learn that microchips are the new oil—the scarce resource on which the modern world depends. Today, military, economic, and geopolitical power are built on a foundation of computer chips. Virtually everything—from missiles to microwaves—runs on chips, including cars, smartphones, the stock market, even the electric grid. Until recently, America designed and built the fastest chips and maintained its lead as the #1 superpower, but America’s edge is in danger of slipping, undermined by players in Taiwan, Korea, and Europe taking over manufacturing.

In PALO ALTO, the first comprehensive, global history of Silicon Valley, Malcolm Harris examines how and why Northern California evolved in the particular, consequential way it did, tracing the ideologies, technologies, and policies that have been engineered there over the course of 150 years of Anglo settler colonialism, from IQ tests to the "tragedy of the commons," racial genetics, and "broken windows" theory.

Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week's meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts' predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight.

When scholars write the history of the world twenty years from now, what will they say was the most crucial development in the first few years of the twenty-first century? The attacks on the World Trade Center on 9/11 and the Iraq war? Or the convergence of technology and events that allowed India, China, and so many other countries to become part of the global supply chain for services and manufacturing, creating an explosion of wealth in the middle classes of the world's two biggest nations?

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.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

Facebook's founding is legend: In a Harvard dorm, wunderkind Mark Zuckerberg invented a new way to connect with friends...and the rest is history. But for the people who actually molded this great idea into a game-changing $300 billion company, the experience was far more tumultuous and uncertain than we might expect. Mike Hoefflinger was one of those Facebook insiders.

Paul Jarvis left the corporate world when he realized that working in a high-pressure, high profile world was not his idea of success. In Company of One, Jarvis explains how you can find the right pathway to do the same, including planning how to set up your shop, determining your desired revenues, dealing with unexpected crises, keeping your key clients happy, and of course, doing all of this on your own. Company of One is a refreshingly new approach centered on staying small and avoiding growth, for any size business.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

What do Google, Snapchat, Tinder, Amazon, and Uber have in common, besides soaring market share? They're platforms - a new business model that has quietly become the only game in town. A platform, by definition, creates value by facilitating an exchange between two or more interdependent groups. So, rather than making things, they simply connect people. The advent of mobile computing and its ubiquitous connectivity have forever altered how we interact with each other. Yet, few people truly grasp the radical structural shifts of the last 10 years.

Bestselling author of The 2020 Workplace Jeanne Meister returns with a powerful guide to mastering a new set of workplace disruptions, detailing the skills you need to thrive in today's hyper-competitive and rapidly changing business environment. Along with co-author Kevin Mulcahy, Meister presents step-by-step advice to recruiters on how to prepare for a more transparent world of work, develop a new set of leadership skills, and anticipate future trends and changes across industries.

Jeff Lawson, developer turned CEO of Twilio (one of Bloomberg Businessweek's Top 50 Companies to Watch in 2021), creates a new playbook for unleashing the full potential of software developers in any organization, showing how to help management utilize this coveted and valuable workforce to enable growth, solve a wide range of business problems, and drive digital transformation.

A provocative work that challenges the traditional and widely accepted principles of business management - and proves that they are outdated, outmoded, or simply don't work. Do open floor plans really work? Are there companies that put their employees' welfare first, and their clients second? Are annual performance reviews necessary? Dr. David Burkus is a highly regarded and increasingly influential business school professor who challenges many of the established principles of business management.

Despite the world's elation at the Arab Spring, shockingly little has changed politically in the Middle East; even frontliners Egypt and Tunisia continue to suffer repression, fixed elections, and bombings, while Syria descends into civil war. But in the midst of it all, a quieter revolution has begun to emerge, one that might ultimately do more to change the face of the region: Entrepreneurship.

The road to success is rarely linear and never easy. But with courage, hard work, perseverance, and dedication to duty, Jim Ovia, founder and chairman of Zenith Bank, proves we can achieve the unthinkable. Jim has been called the Godfather of Banking by Forbes Africa. And this should be no surprise. In a time of tension between military and civilian regimes, periods of incredible economic instability, and a decaying infrastructure, Jim founded Zenith Bank in Nigeria.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

The widening gap between rich and poor means dealing with one big, uncomfortable truth: If you're not at the top, you're at the bottom. The global labor market is changing radically thanks to growth at the high end and the low. About three quarters of the jobs created in the United States since the great recession pay only a bit more than minimum wage. Still, the United States has more millionaires and billionaires than any country ever, and we continue to mint them.

The lean entrepreneurship movement has captivated Silicon Valley and entrepreneurs across the country. It provided an agile framework to develop the right product solution for a given target market and is now used by almost every fledgling company to do just that. The next challenge is growth - to achieve the financial returns and, more importantly, the impact they dreamed of when starting off on their adventure.