Rebooting AI: Building Artificial Intelligence We Can Trust

Rebooting AI: Building Artificial Intelligence We Can Trust

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 of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer winning in games like Jeopardy and go does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules. These approaches are too narrow to achieve genuine intelligence. The world we live in is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Marcus and Davis show us what we need to first accomplish before we get there and argue that if we are wise along the way, we won't need to worry about a future of machine overlords. If we heed their advice, humanity can create an AI that we can trust in our homes, our cars, and our doctor's offices.
Reboot provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of what we can achieve and how AI can make our lives better.

Title:Rebooting AI: Building Artificial Intelligence We Can Trust
ISBN:9781524748258
Format Type:

    Rebooting AI: Building Artificial Intelligence We Can Trust Reviews

  • Nick

    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 ...

  • Mehrsa

    I've read a lot of books on AI and the future of tech and economics in general and this is by far the most mature and sober. It's not a downer like some of the books that are all "everything that is c...

  • Nestor Rychtyckyj

    This well-written and very accessible book by Gary Marcus and Ernest Davis should be required reading for anybody that is overwhelmed by the current boom (and hype) in Artificial Intelligence (AI). Fo...

  • Peter O'Kelly

    Some related resources to consider:Reviews: • https://www.nyjournalofbooks.com/book... • https://www.zdnet.com/article/for-a-m... • https://www.psychologytoday.com/us/bl... • https://onezero.m...

  • Darnell

    The first part of this book, covering the limits of current AI research, was quite solid. The number of examples might be a bit excessive, but it helped show me that I've fallen victim to the tendency...

  • Kyle

    This is a nice, fairly short, introduction to the current limits to deep learning and AI. The authors point out how to watch for hype, explain where we actually are currently, and give suggestions on ...

  • Yunke Xiang

    This book tries to argue that we need some paradigm change for the current AI development. Instead of building machines that’s primarily fueled by big data and can handle specific tasks, we should h...

  • Kiwi Begs2Differ  ?

    Disappointed by this book. Besides stating the obvious, it barely scratches the surface of the AI topic. If you have a good understanding of the subject and have read a few recent technical articles y...

  • Filip Ilievski

    Brilliant storytelling and a balanced view of today's AI. As an AI researcher, this book was very suitable for me, though I expect it to be easy to follow by laymen too. I especially enjoyed the many ...

  • Tom Satterthwaite

    Provides great insight into the state of AI, how far it has come and how far it still has to go to attain the current levels of hype....