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Rebooting AI

Building Artificial Intelligence We Can Trust

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 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 artificial intelligence.

Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been 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 beating a human in Jeopardy! 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, and these approaches are too narrow to achieve genuine intelligence.

The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better. Informatique Ingénierie Technologie Apprentissage automatique Science des données Intelligence artificielle Robotique Programmation
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Narration of the book is excellent. Provides good insight into short comings of present AI but has way to many examples of how systems make mistakes. After the half way mark I was expecting more content but the mistake examples never let up until the end of the book. Book could have been shorter or the content could have been shifted to more solution discussion over example of issues discussion.

Educational but repetitive

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Just what the field of AI really needs: more deep understanding, less BERTology. Great book.

Spot on.

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