
The Importance of Being Educable
a new theory of human uniqueness
$46.40
- Hardcover
272 pages
- Release Date
14 June 2024
Summary
Unlock Your Potential: Why Educability Matters More Than Ever
In the age of AI, why our future depends on better understanding what makes us human
We are at a crossroads in history. If we hope to share our planet successfully with one another and the AI systems we are creating, we must reflect on who we are, how we got here, and where we are heading. The Importance of Being Educable puts forward a provocative new exploration of the extraordinary fac…
Book Details
| ISBN-13: | 9780691230566 |
|---|---|
| ISBN-10: | 0691230560 |
| Author: | Leslie Valiant |
| Publisher: | Princeton University Press |
| Imprint: | Princeton University Press |
| Format: | Hardcover |
| Number of Pages: | 272 |
| Release Date: | 14 June 2024 |
| Weight: | 460g |
| Dimensions: | 216mm x 140mm |
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What They're Saying
Critics Review
“Winner of the PROSE Award for Excellence in Physical Sciences & Mathematics, Association of American Publishers”“Winner of the PROSE Award in Computing and Information Sciences, Association of American Publishers”“Longlisted for the Non-Obvious Book Awards”“A New Yorker Best Book of the Year”“It’s ‘educability,’ not intelligence, that matters most.”—Joshua Rothman, New Yorker“This brief, philosophical treatise will be a thoughtful addition to academic collections focused on artificial intelligence and human learning.” * Library Journal *“Intelligence lacks a clear and agreed definition in science, leading to confusion about IQ and the potential of artificial intelligence. Leslie Valiant, a pioneer of machine learning, prefers to define human intellectual uniqueness as educability instead of intelligence … in his complex but jargon-free book.”—Andrew Robinson, Nature
About The Author
Leslie Valiant
Leslie Valiant is the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard University. Recipient of the Turing Award and the Nevanlinna Prize for his foundational contributions to machine learning and computer science, he is the author of Probably Approximately Correct and Circuits of the Mind.
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