The Importance of Being Educable: A New Theory of Human Uniqueness - Couverture souple

Valiant, Leslie

Couverture souple

ISBN 10 : 0691230579 ISBN 13 : 9780691230573

Editeur : Princeton University Press, 2026

Synopsis

Why you should worry less about AI and more about 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 facility of humans to absorb and apply knowledge. The remarkable "educability" of the human brain can be understood as an information processing ability. It sets our species apart, enables the civilization we have, and gives us the power and potential to set our planet on a steady course. Yet it comes hand in hand with an insidious weakness. While we can readily absorb entire systems of thought about worlds of experience beyond our own, we struggle to judge correctly what information we should trust.

In this visionary book, Leslie Valiant argues that understanding the nature of our own educability is crucial to safeguarding our future. After breaking down how we process information to learn and apply knowledge, and drawing comparisons with other animals and AI systems, he explains why education should be humankind's central preoccupation.

Will the unique capability that has been so foundational to our achievements and civilization continue to drive our progress, or will we fall victim to our vulnerabilities? If we want to play to our species' great strength and protect our collective future, we must better understand and prioritize the vital importance of being educable. This book provides a road map.

A propos du livre

À propos de l'auteur

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.

Détails de l'édition

• Éditeur: Princeton University Press
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 0691230579
• ISBN 13: 9780691230573
• Reliure: Broché
• Nombre de pages: 272
• Coordonnées du fabricant: non disponible
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