Artificial Intelligence: A Guide for Thinking Humans

Artificial Intelligence: A Guide for Thinking Humans

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  • Type:Epub+TxT+PDF+Mobi
  • Create Date:2021-10-31 09:55:42
  • Update Date:2025-09-06
  • Status:finish
  • Author:Melanie Mitchell
  • ISBN:0241404835
  • Environment:PC/Android/iPhone/iPad/Kindle

Summary

'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 Gazzaniga

A leading computer scientist brings human sense to the AI bubble

No recent scientific enterprise has been so alluring, terrifying and filled with extravagant promise and frustrating setbacks as artificial intelligence。 Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence。

Flavoured with personal stories and a twist of humour, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense。 Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI even requires such elusive human qualities at all。

Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go and what it means for all of our futures。

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Reviews

Valeriu

A very pleasant lecture。 The book is well structured with a fluent narrative, sprinkled by witty humour and entertaining insights from the AI research world。 The technical bits, though not too many, are clearly explained, helping newcomers understand what are the main methods and challenges of deep learning。 On the other hand, some of the most recent results in the domain are distilled and arranged in pro and con arguments, offering a few aha! moments even to experienced practitioners, especiall A very pleasant lecture。 The book is well structured with a fluent narrative, sprinkled by witty humour and entertaining insights from the AI research world。 The technical bits, though not too many, are clearly explained, helping newcomers understand what are the main methods and challenges of deep learning。 On the other hand, some of the most recent results in the domain are distilled and arranged in pro and con arguments, offering a few aha! moments even to experienced practitioners, especially when it comes to the limitations of current AI systems。 。。。more

Zarathustra Goertzel

Melanie Mitchell provides a good historical overview of AI from its baby days to the present with a focus on symbolic (expert) systems and neural network systems, leaving out some other machine learning methods on the wayside (as I guess they're just "math"? :- p)。Melanie invites us to question what AI systems are actually learning when they perform well and doesn't have the answers。 She believes this renders difficult predicting how much further we have to truly general and/or human-level AI。 Melanie Mitchell provides a good historical overview of AI from its baby days to the present with a focus on symbolic (expert) systems and neural network systems, leaving out some other machine learning methods on the wayside (as I guess they're just "math"? :- p)。Melanie invites us to question what AI systems are actually learning when they perform well and doesn't have the answers。 She believes this renders difficult predicting how much further we have to truly general and/or human-level AI。 。。。more

Dani Ollé

Excellent short review of the historical development and current state of artificial intelligence。 Easy to read and informative。

Mark McKerracher

I first listened to this as an audiobook, which was excellent except that, in places, there were explanatory illustrations to accompany the more complicated passages - not ideal having to refer to the accompanying PDF to see these。 So I bought the paperback, as the text is well worth having to hand。 This book clearly and amiably dispels some of the myths and ambiguity around AI, tracking its beginnings and changing fortunes, and ultimately considers some of the (frankly quite weird) activities a I first listened to this as an audiobook, which was excellent except that, in places, there were explanatory illustrations to accompany the more complicated passages - not ideal having to refer to the accompanying PDF to see these。 So I bought the paperback, as the text is well worth having to hand。 This book clearly and amiably dispels some of the myths and ambiguity around AI, tracking its beginnings and changing fortunes, and ultimately considers some of the (frankly quite weird) activities and beliefs of certain futurists。 Read this and a lot of the tech world around you will become clearer。 。。。more

John Karabaic

A superb overview of the field for general audiences, written with an engaging, dry wit。 Get this one for your parents or grandparents who want to understand what all the hubbub is about。

Daniel

I enjoyed reading Artificial intelligence。 I enjoyed the whole book。 The author talks a little about the history of AI, computer vision, and natural language processing。 For computer vision I was fascinated to learn about convolutional networks。 I had heard about neural networks before reading the book but, I had never heard of convolutional networks。 In addition to how they work she also talks about how they can be fooled by only changing a pixel in an image。 The image looks the same to humans I enjoyed reading Artificial intelligence。 I enjoyed the whole book。 The author talks a little about the history of AI, computer vision, and natural language processing。 For computer vision I was fascinated to learn about convolutional networks。 I had heard about neural networks before reading the book but, I had never heard of convolutional networks。 In addition to how they work she also talks about how they can be fooled by only changing a pixel in an image。 The image looks the same to humans but, the machine will miss label it。For natural language processing I had no idea how that worked。 So I enjoyed learning the techniques it。 She also talks about adversarial attacks for NLP。 One thing I learned is that I think it was deep mind was trained to play Atari games。 I also enjoyed the her writing about Deep blue, Watson, AlphaGo。 Yet another thing I liked about the book is that she also asks the question what is the computer learning。 I never thought about that question。 What else to I want to say about Artificial intelligence? Oh, I also learning that say if AlphaGo is trained to play Go it can't play any other game without being retrained。 It can't transfer its knowledge of one game to learn another game。 Anyway I probably forgot somethings that I probably wanted to write in this review。 If you want to learn more about Artificial intelligence I think you were enjoy reading this book。 Its very readable and not loaded down with lots of information that is hard to understand。 。。。more

Carlosfelipe Pardo

This is a fantastic and thorough description of the problems and challenges of AI。 I loved it all the way until the last sentence

Pablo Prieri

Thank you Melanie for writing such a ‘humane’ and compassionate book about AI

Scott

Since research into AI is constantly progressing, a note that this is a review from October 2021。 This book was published in 2019。 As of now it is still relevant, minus some interesting advances in Machine Learning in the last couple years。Melanie Mitchell does an excellent job setting the stage for the origins of AI, when it came back in resurgence with Machine Learning and a very good description of the various deep learning techniques used today (minus all the complex statistical knowledge, b Since research into AI is constantly progressing, a note that this is a review from October 2021。 This book was published in 2019。 As of now it is still relevant, minus some interesting advances in Machine Learning in the last couple years。Melanie Mitchell does an excellent job setting the stage for the origins of AI, when it came back in resurgence with Machine Learning and a very good description of the various deep learning techniques used today (minus all the complex statistical knowledge, but she makes the concepts understandable without that knowledge)。I found Mitchell's association with Douglas Hofstadter and his influence on her approach to thinking about ML to be one of the more unique aspects of this book。 While a lot of books of this type want to make it apparent that we're still a long ways away from some form of General Intelligence, this was presented in the most reasonable fashion。 Compared to https://www。goodreads。com/book/show/4。。。, this is the much, much, much better examination。 There's more depth, and less dismissal of current approaches。I am familiar with a lot of the basics of Machine Learning, so some of this was retreading things I already knew。 I also found it to ring true on pretty much every aspect of how ML and AI exist in our world today。 Highly recommended for both practitioners and those with fresh eyes who want a more in-depth overview。 。。。more

Maris

I like how she approached her PhD and research - by just walking up to someone who she thought was cool and convinced them that they should take her on for research。 Very inspiring in times of PhD applications!As for the book, it really is an introduction and a good summary of several ideas。 Does not add much if you've already read other books that go more in depth in the field。 I like how she approached her PhD and research - by just walking up to someone who she thought was cool and convinced them that they should take her on for research。 Very inspiring in times of PhD applications!As for the book, it really is an introduction and a good summary of several ideas。 Does not add much if you've already read other books that go more in depth in the field。 。。。more

Luke

Surprisingly under the radar。 Why is this book not more popular? At least it has a good rating。 I like its professional style and balance of covering the most essential things going on in AI without forgetting philosophers like Hofstadter。

Kobe Bryant

decent overview but a little too simple

Aditya Mehta

It gives a nice high-level overview of entire AI landscape。 Also, a easy and smooth read, engaging book。

Matt Kuntz

great introduction and discussion on artificial intelligence。 I work on a few artificial intelligence efforts around mental health。 As a nontechnical person, this gave me a better understanding of what I should be expecting our programs to be able to do and what goals are probably unrealistic。

Ruan Van

Complex topics discussed elegantlyThis is one of those rare books I read start to finish in on setting。 Brilliantly written in a way everyone can understand, but does not make it boring for an expert。

Konstantin

A vot see oli küll raamat, mida ma endasse näljase sulasena sisse ahmisin。 Oivaline sissejuhatus tehisintellekti ja masinõppe temaatikatesse。Done。

Antonio Norelli

A good guide to comprehend the state of artificial intelligence today for the non-experts。 An interesting point of view enriched with savoury and reusable examples for the experts。Books about AI are subject to a rapid aging, this book is from 2019 and remains highly relevant today (08-2021), yet it inevitably misses to discuss the more recent advancements, such us GPT or CLIP。

Michael Winfield

Excellent primer on AI。 It's extremely in-depth with respect to narrow details that are important for larger scale understanding, and yet it is so well written that it is a breezy read。 Looking forward to reading her book on Complexity。 Highly recommended。 Excellent primer on AI。 It's extremely in-depth with respect to narrow details that are important for larger scale understanding, and yet it is so well written that it is a breezy read。 Looking forward to reading her book on Complexity。 Highly recommended。 。。。more

Martin Raybould

A well written and informative guide to how AI has developed and how it may evolve in the future。 It's a pity that the book doesn't cover the ethical or political implications in any great depth since these are fundamental considerations on this topic。 A well written and informative guide to how AI has developed and how it may evolve in the future。 It's a pity that the book doesn't cover the ethical or political implications in any great depth since these are fundamental considerations on this topic。 。。。more

Ovidiu Neatu

A well written and accessible book that surveys the recent developments in AI。

Vladimir Slaykovsky

Very gentle intro to popular AI architectures with a fair bit of criticism。 Don't recommend for experienced ML practitioners Very gentle intro to popular AI architectures with a fair bit of criticism。 Don't recommend for experienced ML practitioners 。。。more

Karl Kristian Lockert

Hørte på lydbok。Veldig god introduksjon, status, og historisk oppsummering av kunstig intelligens (anno 2019)。Om du frykter at kunstig intelligens skal ta over verden, avslutter forfatteren med et betryggende sitat: “People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world。” ― Pedro Domingos Hørte på lydbok。Veldig god introduksjon, status, og historisk oppsummering av kunstig intelligens (anno 2019)。Om du frykter at kunstig intelligens skal ta over verden, avslutter forfatteren med et betryggende sitat: “People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world。” ― Pedro Domingos 。。。more

Mike Fowler

A brilliant overview of the history and current state of AI。 This is easily the most accessible explanation of neural networks (convolutional and recurrent) in addition to all the rest of the content。 Most importantly, this book highlights the limitations of current AI while still remaining inspiring。I doubt AI will appreciate the coincidence that I started reading Gödel, Escher, Bach: an Eternal Golden Braid at the end of May, the very book that inspired Melanie Mitchell to take up AI in the fi A brilliant overview of the history and current state of AI。 This is easily the most accessible explanation of neural networks (convolutional and recurrent) in addition to all the rest of the content。 Most importantly, this book highlights the limitations of current AI while still remaining inspiring。I doubt AI will appreciate the coincidence that I started reading Gödel, Escher, Bach: an Eternal Golden Braid at the end of May, the very book that inspired Melanie Mitchell to take up AI in the first place! 。。。more

WhatIsItLike。to

Good, not perfect。 Sometimes too advanced for the layperson。 In audiobook format, the reader was finally not a male voice, and on 1。6x speed it sounded amazingly AI-ish。 However, some aspects of the book are best read, not listened to, especially if you do something while listening。 Because it's a topic best given full attention to。 I learned that what we think as terminator like AI is probably not coming any time soon, and computational capacity != sentient machines。 They are created for specif Good, not perfect。 Sometimes too advanced for the layperson。 In audiobook format, the reader was finally not a male voice, and on 1。6x speed it sounded amazingly AI-ish。 However, some aspects of the book are best read, not listened to, especially if you do something while listening。 Because it's a topic best given full attention to。 I learned that what we think as terminator like AI is probably not coming any time soon, and computational capacity != sentient machines。 They are created for specific tasks and there is no "proper" general AI that we see in the movies。 Thankfully。 So my impression was that most AI's are "fake", just trained on big data, and they don't actually think。 。。。more

howl of minerva

Dr。 Mitchell, I salute you。 This is a primer that actually does its job。 In a field that tends to Sarah Connorish hysteria or I-am-become-Goddish euphoria, she finds a middle way。 She also manages to explain some of the nuts and bolts of how AI actually works。 She does so in an intuitive, conceptual way without eye-glazing equations, absurd similes or hyperbole。 A tour de force。 Did she have a helping hand from the future?

Marta Sarrico

A realistic overview of the AI field, what it has accomplish so far and the long road ahead。 Good for any level of expertise to get an overall idea of the techniques and specially their limits, without any of the hype that surrounds this field。 There’s still a lot of work to do, AI isn’t going to take over the world in any near future but still。。。 what a time to be alive!

DatoClement

A book not exactly of today。 Still would be interesting for a non-expert AI lover。

Farrukh Pitafi

Read it to understand how AI works。

Rafał

An amazing book on the current state of AI。 The topic is not an easy one, but the book reads lightly。 Do not agree with the author that to solve self driving we need AGI tho。