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 ...

  • Reza Mahmoudi

    یوشوا بنجیو یکی از برنده های جایزه تورینگ سال 2018 می گه اگر میخواهید برنده جایزه بعدی تورینگ بشید باید روی چیز د...

  • 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...

  • 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...

  • Ricardo Acua

    Throughout the history, there are generally cycles that oscillate between the extremes of two dialectically opposed positions resulting in a new stage in the historical development of contraries. REBO...

  • CHERYL D

    Serious an thoughtful redirect for AII have been waiting for the industry to finally get critical with itself. Thanks for this thoughtful treatment of a subject that has had misleading and frothy trea...

  • Frederick Gault

    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...

  • Katja

    Has its ups and downs, but overall very interestingI kind of ruined it for me by reading some of the negative comments on here. Therefore, I cannot say if the first few chapters are really annoyingly ...

  • 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...

  • 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 no...