Product details:
| ISBN13: | 9780192894724 |
| ISBN10: | 0192894722 |
| Binding: | Hardback |
| No. of pages: | 184 pages |
| Size: | 222x142x16 mm |
| Weight: | 368 g |
| Language: | English |
| 264 |
Category:
Making AI Intelligible
Philosophical Foundations
Edition number: 1
Publisher: OUP Oxford
Date of Publication: 22 April 2021
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Short description:
This innovative and accessible study illustrates how philosophy can help us understand and improve our interactions with AI.
Long 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.
a thought-provoking overview of the resources available in the contemporary philosophy of language, and their potential application to the interpretation of AI systems.
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.
a thought-provoking overview of the resources available in the contemporary philosophy of language, and their potential application to the interpretation of AI systems.
Table of Contents:
PART I: INTRODUCTION AND OVERVIEW
Introduction
Alfred (The Dismissive Sceptic): Philosophers, Go Away!
PART II: A PROPOSAL FOR HOW TO ATTRIBUTE CONTENT TO AI
Terminology: Aboutness, Representation, and Metasemantics
Our Theory: De-Anthropocentrized Externalism
Application: The Predicate 'High Risk'
Application: Names and the Mental Files Framework
Application: Predication and Commitment
PART III
Four Concluding Thoughts
Bibliography
Introduction
Alfred (The Dismissive Sceptic): Philosophers, Go Away!
PART II: A PROPOSAL FOR HOW TO ATTRIBUTE CONTENT TO AI
Terminology: Aboutness, Representation, and Metasemantics
Our Theory: De-Anthropocentrized Externalism
Application: The Predicate 'High Risk'
Application: Names and the Mental Files Framework
Application: Predication and Commitment
PART III
Four Concluding Thoughts
Bibliography
