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Rebooting AI: Building Artificial Intelligence We Can Trust
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Rebooting AI: Building Artificial Intelligence We Can Trust

3.71  ·  Rating details ·  51 ratings  ·  14 reviews
Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust AI.

Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we are led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront
Hardcover, 288 pages
Published September 10th 2019 by Pantheon Books
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Average rating 3.71  · 
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 ·  51 ratings  ·  14 reviews

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Aug 04, 2019 rated it liked it
Shelves: non-fiction, tech
The central thesis of this book is that AI is not good enough. It is much closer to basic statistical inference than something that understands the world like a human. However, this is really all the authors needed. A short OpEd would be just as valuable as writing a 200-page book.

They have a lot of examples, which do advance their point, but it makes the writing feel repetitive. Yes, AI today cannot understand the implied points of a sentence. However, they then end up providing a b
Reza Mahmoudi
Aug 27, 2019 marked it as to-read
یوشوا بنجیو یکی از برنده های جایزه تورینگ سال 2018 می گه اگر میخواهید برنده جایزه بعدی تورینگ بشید باید روی چیز دیگری غیر از یادگیری عمیق یا دیپ لرنینگ کار کنید.
Gary Marcus خواندن این کتاب از

نقطه خوبی برای شروع هستش
Frederick Gault
Oct 07, 2019 rated it liked it
Shelves: nonfiction, science
This book is long on examples of what current "AI" based systems don't do properly. The authors contend that the current approach, neural net based deep learning based on big data, is only part of the problem space facing commercial AI based products. They would like to see more "common sense", among other things. They freely admit that right now no one seems to know how to do common sense and in fact most research is focused on the current approach. In their opinion, current research is erroneo ...more
Nguyen Tan
The book is a bunch of examples to show that the current machine learning models are not human-level intelligence. We all know this!

The book claims without any strong evidence that deep learning is not enough for AGI and the good ol' fashioned AI is the solution.

In short, this book is written in an alternative universe in which animals are very good at logic and math and very bad at recognizing food and predator.
Jari Pirhonen
Oct 18, 2019 rated it really liked it  ·  review of another edition
Good discussion why artificial intelligence still has a long way to go in order to be generally useful. Current AI implementations are narrow and creating artificial general intelligence is difficult. The book has many examples where AI is not even close to what even a kid could do. The purpose of the book is not to criticize AI and it's possibilities, but to show the current limitations and set right expectations.
Pedro Martinez
Oct 11, 2019 rated it liked it
"Rebooting AI" from Gary Marcus and Ernest Davis is a remarkable guide to be appropriately sceptical on overstated Artificial Intelligence and Deep Learning commercial hypes and how to drive it forward for future needed right-purpose aims, in a fair and safe way. Insightful for IT professionals towards a safe, trustworthy, and reliable technology that will help humanity in the future.
Priyaranjan Padhi
Oct 07, 2019 rated it really liked it
Even though the critique leveled at current 'AI' methods in this book are not new, they are necessary more so in the age of relatively unwarranted & excessive uncritical coverage of current machine learning methods such as deep learning being hailed as the ushers of the era of artificial general intelligence.
Sep 25, 2019 rated it liked it
The first 30% is good, the critics about deep learning are also sound. However, the rest parts especially the proposed solutions are just OK. Their suggestions include bringing in traditional AI, implement common sense, etc. Then they claim that after we doing these, AI can "suddenly" achieve better and be trusted results.
Leonard Papenmeier
Might be interesting for non-experts

If you are in the field of machine learning or related, this book will bring you no new insights. It might be interesting for a broader audience though.
Matthew Reinbold
Sep 13, 2019 rated it liked it
The book makes a strong case why current machine learning advances are "narrow" and media hype is overblown. However, the beat down gets repetitive and where to go from there ("deep understanding") lacks implementable substance.
Oct 13, 2019 rated it it was ok
Yuanchu Dang
Sep 24, 2019 rated it did not like it
A collection of complaints regarding deep learning without proposal for solutions beyond calling for some vague deep understanding and logic system.
Jose Mendoza

Interesting take on the advances of AI and the limitations the field currently faces. I would recommend it to anyone that has an interest in AI.
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Gary Marcus is an award-wining Professor of Psychology at New York University and director of the NYU Center for Child Language. He has written three books about the origins and nature of the human mind, including Kluge (2008, Houghton Mifflin/Faber), and The Birth of the Mind (Basic Books, 2004, translated into 6 languages). He is also the editor of The Norton Psychology Reader, and the author of ...more