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.

A New York Times Notable Book Finalist for the National Book Critics Circle Award An Instant New York Times Bestseller Named a Best Book of the Year by Smithsonian, Scientific American, and Elle “A bestselling page-turner that has made waves not just in Silicon Valley but around...

The noted inventor and futurist’s successor to his landmark book The Singularity Is Near explores how technology will transform the human race in the decades to come Since it was first published in 2005, Ray Kurzweil’s The Singularity Is Near and its vision of an exponential future have...

AN INSTANT NEW YORK TIMES BESTSELLER From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI Something new entered our world in November 2022 — the first general...

How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times) A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post...