The Importance of Being Educable

A New Theory of Human Uniqueness

(Autor) Leslie Valiant
Formato: Hardcover
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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 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.

Information
Editorial:
Princeton University Press
Formato:
Hardcover
Número de páginas:
272
Idioma:
en
ISBN:
9780691230566
Año de publicación:
2024
Fecha publicación:
16 de Abril de 2024

Leslie Valiant

Leslie Valiant is a British computer scientist and mathematician known for his work in theoretical computer science. He has made significant contributions to the study of computational learning theory and artificial intelligence. Valiant received the Turing Award in 2010 for his work on complexity theory and machine learning. His most famous work is the "Probably Approximately Correct (PAC) learning model," which has had a profound impact on the field of machine learning. Valiant's writing style is known for its clarity and precision, making his work accessible to a wide audience. He continues to be a leading figure in the field of computer science and has inspired numerous researchers with his innovative ideas and groundbreaking research.

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