Rebooting AI : building artificial intelligence we can trust /Gary Marcus and Ernest Davis.
Material type: TextLanguage: English Publisher: New York : Pantheon Books, 2019Edition: First edition.Description: 273 pages : illustrations ; 25 cmISBN:- 9780525566045
- Building artificial intelligence we can trust
- Q335 .M368 2019
- B3ASP Data Science for Business: The Business Aspect of Artificial Intelligence | MSc Digital Transformation & Business Innovation
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Book | TBS Barcelona | Core Textbooks | Q335 MAR (Browse shelf(Opens below)) | 1 | Available | B05433 | |
Book | TBS Barcelona | Core Textbooks | Q335 MAR (Browse shelf(Opens below)) | 2 | Available | B02912 |
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Includes bibliographical references (pages 229-262) and index.
Mind the gap -- What's at stake -- Deep learning, and beyond -- If computers are so smart, how come they can't read? -- Where's Rosie? -- Insights from the human mind -- Common sense, and the path to deep understanding -- 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 robust artificial intelligence that can make our lives better.
“Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking
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.
B3ASP Data Science for Business: The Business Aspect of Artificial Intelligence | MSc Digital Transformation & Business Innovation