9780192894724-0192894722-Making AI Intelligible: Philosophical Foundations

Making AI Intelligible: Philosophical Foundations

ISBN-13: 9780192894724
ISBN-10: 0192894722
Author: Herman Cappelen, Josh Dever
Publication date: 2021
Publisher: Oxford University Press
Format: Hardcover 184 pages
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Book details

ISBN-13: 9780192894724
ISBN-10: 0192894722
Author: Herman Cappelen, Josh Dever
Publication date: 2021
Publisher: Oxford University Press
Format: Hardcover 184 pages

Summary

Making AI Intelligible: Philosophical Foundations (ISBN-13: 9780192894724 and ISBN-10: 0192894722), written by authors Herman Cappelen, Josh Dever, was published by Oxford University Press in 2021. With an overall rating of 4.2 stars, it's a notable title among other History & Philosophy (Consciousness & Thought, Philosophy, Logic & Language) books. You can easily purchase or rent Making AI Intelligible: Philosophical Foundations (Hardcover, Used) from BooksRun, along with many other new and used History & Philosophy books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.36.

Description

Can humans and artificial intelligences share concepts and communicate? Making AI Intelligible shows that philosophical work on the metaphysics of meaning can help answer these questions. Herman Cappelen and Josh Dever use the externalist tradition in philosophy to create models of how AIs and
humans can understand each other. In doing so, they illustrate ways in which that philosophical tradition can be improved.

The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about
(for example, creditworthiness, recidivism, cancer, and combatants). If AIs can share our concepts, that will go some way towards justifying this reliance on AI. This ground-breaking study offers insight into how to take some first steps towards achieving Interpretable AI.

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