Alison Gopnik

Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. 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 models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

A New York Times Bestseller From world-renowned biologist and primatologist Frans de Waal, a groundbreaking work on animal intelligence destined to become a classic. What separates your mind from an animal’s? Maybe you think it’s your ability to design tools, your sense of self, or your grasp of past and future―all traits that have helped us define ourselves as the planet’s preeminent species. But in recent decades, these claims have eroded, or even been disproven outright, by a revolution in the study of animal cognition. Take the way octopuses use coconut shells as tools; elephants that classify humans by age, gender, and language; or Ayumu, the young male chimpanzee at Kyoto University whose flash memory puts that of humans to shame. Based on research involving crows, dolphins, parrots, sheep, wasps, bats, whales, and of course chimpanzees and bonobos, Frans de Waal explores both the scope and the depth of animal intelligence. He offers a firsthand account of how science has stood traditional behaviorism on its head by revealing how smart animals really are, and how we’ve underestimated their abilities for too long. People often assume a cognitive ladder, from lower to higher forms, with our own intelligence at the top. But what if it is more like a bush, with cognition taking different forms that are often incomparable to ours? Would you presume yourself dumber than a squirrel because you’re less adept at recalling the locations of hundreds of buried acorns? Or would you judge your perception of your surroundings as more sophisticated than that of a echolocating bat? De Waal reviews the rise and fall of the mechanistic view of animals and opens our minds to the idea that animal minds are far more intricate and complex than we have assumed. De Waal’s landmark work will convince you to rethink everything you thought you knew about animal―and human―intelligence. 32 illlustrations

An exploration of how computer algorithms can be applied to our everyday lives to solve common decision-making problems and illuminate the workings of the human mind. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they’ve found have much to teach us. In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one’s inbox to peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Research is all about writing, but most PhD programs don't teach students how to produce the writing needed to get a PhD, publish research, or win fellowships and grants. Plus, the academic environment can feel as cold and harsh as the South Pole. But just as penguins form social huddles to survive the Antarctic winter, researchers can form writing groups to help them learn how to write more, write better and be happier in academia. The Writing Workshop tells you everything you need to know about forming and running a successful writing group, and provides invaluable tips on how to become better at and more comfortable with academic writing. Written by a professor of Cognitive Sciences at the University of California, this friendly guide is aimed at early-career researchers such as PhD students, postdoctoral scholars and new faculty members. Chapter topics include: How to form and run a writing workshop; how to plan research and writing projects over the long (one to five years), medium (ten to fifteen weeks), and short (one week) terms; how to establish and maintain a regular daily(ish) writing practice; how to write a literature review, research article, funding proposal or presentation; and how to revise for clarity at the document, paragraph, sentence and word levels. There are templates to help students set writing goals and log their writing practice, plus in-class exercises to help writers learn to hear the difference between effective and ineffective writing. Running through the book is the theme of well-being, and the idea that creativity comes from self-compassion rather than self-punishment. Writing is not only a way of producing scholarly output, but also a way of thinking, learning and generating new ideas. A regular writing practice grounded in a supportive community is something that every early-career scholar deserves and, with this book, it's something every early-career scholar can have.