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. She meets with fellow experts like 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 farther it has to go.
Interweaving stories about the science and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and approachable accounts of the most interesting and provocative modern work in AI, flavored with Mitchell’s humor and personal observations. This frank, lively book will prove an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impacts on all of our futures.
Helen Manders manages the translation rights for Artificial Intelligence
The audio rights are handled by Farrar, Straus & Giroux Inc.
Contact Esther Newberg for more information
Translation Rights Sold
Melanie Mitchell deftly provides the reader with a keen, clear-sighted account of the history of AI and neural networks... A wonderfully informative book.
If you think you understand AI and all of the related issues, you don’t. By the time you finish this exceptionally lucid and riveting book you will breathe more easily and wisely.
Melanie Mitchell writes about AI with a warm, friendly voice and an unpretentious brilliance that no machine could hope to match... for now.
Artificial intelligence can trounce you at chess, but will mistake a school bus for an ostrich or make bizarre connections between birds and hydrants. Mitchell cuts through the hype that the field of A.I. is often prone to and lays out what it does well, where it fails, and how it might do better.
Melanie Mitchell’s book is a must read for anyone interested in the emerging revolution of AI, machine learning and big data. She provides a remarkably lucid and comprehensive overview not just of their power and potential in shaping life in the 21st century but, perhaps more importantly, of their shortcomings and dangers.