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Artificial Intelligence: A Guide for Thinking Humans Kindle Edition
| Melanie Mitchell (Author) Find all the books, read about the author, and more. See search results for this author |
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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.
- LanguageEnglish
- PublisherFarrar, Straus and Giroux
- Publication dateOctober 15, 2019
- File size19683 KB
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Editorial Reviews
Review
"Mitchell knows what she’s talking about. Even better, she’s a clear, cogent and interesting writer . . . Artificial Intelligence has significantly improved my knowledge when it comes to automation technology, [but] the greater benefit is that it has also enhanced my appreciation for the complexity and ineffability of human cognition."―John Warner, Chicago Tribune
"Without shying away from technical details, this survey provides an accessible course in neural networks, computer vision, and natural-language processing, and asks whether the quest to produce an abstracted, general intelligence is worrisome . . . Mitchell’s view is a reassuring one." ―The New Yorker
"In Mitchell’s telling, artificial intelligence (AI) raises extraordinary issues that have disquieting implications for humanity. AI isn’t for the faint of heart, and neither is this book for nonscientists . . . she is a good writer with broad knowledge of the topic . . . and a canny mindfulness of both the merits and problems of AI." ―Howard Schneider, Undark
"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." ―George Musser, author of Spooky Action at a Distance
"The recent resurgence of AI has led to predictions of everything from the end of the world to immortality. Melanie Mitchell’s very intelligent, clear and sensible book is a welcome corrective to the exaggerated fears and hopes for AI, and the prefect primer to start understanding how the systems actually work." ―Alison Gopnik, professor of Psychology at UC Berkeley, and author of The Philosophical Baby
"Melanie Mitchell writes about AI with a warm, friendly voice and an unpretentious brilliance that no machine could hope to match...for now." ―Steven Strogatz, professor of mathematics, Cornell University, and author of Infinite Powers
"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. Mitchell brings a holistic, integrated perspective for understanding what these terms actually mean and the capabilities they promise in a non-technical language that any of us can appreciate. At the same time, she lays bare the hyperbole and misconceptions that are being propagated in the media. This book can be, and should be, read by the proverbial man or woman-on-the-street, the silicon valley guru, members of congress, or a student of the humanities, as well as by professional scientists and engineers. They will all profit enormously from it." ―Geoffrey West, distinguished professor at the Santa Fe Institute, and author of Scale: The Universal Laws of Life, Growth, and Death in Organisms, Cities, and Companies
“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.” ―Michael S. Gazzaniga, Director of the SAGE Center for the Study of Mind, University of California-Santa Barbara, and author of The Consciousness Instinct
"Computers are capable of feats of astonishing intelligence, while at the same time lacking any semblance of common sense. Melanie Mitchell takes us through an enlightening tour of how artificial intelligence currently works, and how it falls short of true human understanding. The challenges and opportunities discussed in this book will be crucial in shaping the future of humanity and technology." ―Sean Carroll, author of Something Deeply Hidden: Quantum Worlds and the Emergence of Spacetime
“Melanie Mitchell deftly provides the reader with a keen, clear-sighted account of the history of AI and neural networks. She explores refinements of the Turing Test, Ray Kurzweil’s Singularity (a little dubiously), deep machine learning, computer vision, translation programs, ethical issues, and many other topics, their history, modern development, and the ebb and flow of the hype surrounding their various incarnations. What is most impressive is that without getting too technical, Mitchell sketches enough details and clever illustrations that one gets a good intuitive understanding of AI, both its special purpose machines and its attempts at developing a more general intelligence. A wonderfully informative book.” ―John Allen Paulos, Professor of Mathematics, Temple University, and author of Innumeracy: Mathematical Illiteracy and its Consequences
"Melanie Mitchell nails it: current AI does all kinds of neat tricks, but there’s no real understanding there, and until there is, we will never get to the real promise of AI." ―Gary Marcus, Founder and CEO of Robust.AI and co-author of Rebooting AI
About the Author
Product details
- ASIN : B07MYWPQSK
- Publisher : Farrar, Straus and Giroux; Illustrated edition (October 15, 2019)
- Publication date : October 15, 2019
- Language : English
- File size : 19683 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Enabled
- Word Wise : Enabled
- Print length : 338 pages
- Page numbers source ISBN : 1250758041
- Lending : Not Enabled
- Best Sellers Rank: #134,180 in Kindle Store (See Top 100 in Kindle Store)
- #22 in Social Aspects of the Internet
- #32 in AI & Semantics
- #102 in Computers & Technology (Kindle Store)
- Customer Reviews:
About the author

Melanie Mitchell is the Davis Professor at the Santa Fe Institute. Melanie's book "Complexity: A Guided Tour" won the 2010 Phi Beta Kappa Science Book Award, was named by Amazon.com as one of the ten best science books of 2009, and was longlisted for the Royal Society's 2010 book prize. Her newest book is "Artificial Intelligence: A Guide for Thinking Humans".
Melanie originated the Santa Fe Institute's Complexity Explorer project, which offers free online courses related to complex systems. For more information, go to http://complexityexplorer.org.
Customer reviews
Top reviews from the United States
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These are more than stories. They humanize what can be an extremely dehumanizing subject. Subsequent chapters trace the development of AI through multiple phases, the triumphs and the failures. The book is a balanced view of the subject written by an expert, but crafted so even non-experts leave with an understanding of this fascinating, pervasive and sometimes terrifying subject. It is a must read, and an enjoyable one at that.
The writing is excellent and the balance of pace and detail makes for a surprisingly entertaining read considering that AI is at present a nerd's cake that's not fully baked. The reader benefits from being able to virtually see through the eyes of an AI expert that has lived through and contributed to many of those historical milestones.
Artificial Intelligence is pointed squarely at the scientifically literate layperson, thus you should not expect a technical how-to guide for those that wish to understand the nuts and bolts math or programming logic of different eras of AI approaches. If you'd like to dig deeper, read the notes and included references.
The bottom line here is that Melanie Mitchell has the expertise to understand the topic at a current research level and the authorship chops to put the current state of the art into clear perspective for the educated layperson. I really appreciate the brutal honesty Melanie has brought to the assessment of the status and potential for the future of AI. Her perspective is sorely missing from many technology leaders.
There is much discussion that is not technical. It is often valuable and interesting, but can suffer from repetition. While Michell is an AI researcher, she is at pains to point out its limitations. While it is very good at certain narrowly defined tasks and has confounded many in the community by such accomplishment as beating human champions at Jeopardy and GO, it lacks more general capabilities for abstraction and understanding. It can fail terribly when faced with certain uncommon situations and can be biased by the data on which it is trained; experts who understand how a give AI program works, can be particularly good at devising problems which make it look foolish. It is often not possible to meaningfully explain how a program came up with a particular answer even when it is correct.
Most successful current AI programs use neural networks, specially designed for a particular problem and augmented sometimes by such techniques as Monte Carlo simulation. Symbolic approaches, using a knowledge base and rules suffers from the fact that actual humans often utilize unconscious rules, very general knowledge and experiences.
Besides all of that, I appreciated that this book was honest. It gave me a great understanding about what real AI actually is, and how we are not even close to the desired, revolutionary level of general AI that has real common sense. Many people, for whatever reasons, exaggerate results and make promises that are not accurate about the progress of the technology. Here you will find the real answers of what AI can do.
Top reviews from other countries
As a non expert in competing or AI I found itcomprehensive and understandable but with a good amount of depth
It is very well written and I enjoyed reading it.
I cant recommend it highly enough













