Making AI Intelligible
Philosophical Foundations
by Herman Cappelen, Josh Dever
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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. 
Book 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.
This open book is licensed under a Creative Commons License (CC BY). You can download Making AI Intelligible ebook for free in PDF format (1.1 MB).
Table of Contents
Chapter 1
Introduction
Chapter 2
Alfred (The Dismissive Sceptic): Philosophers, Go Away!
Chapter 3
Terminology: Aboutness, Representation, and Metasemantics
Chapter 4
Our Theory: De-Anthropocentrized Externalism
Chapter 5
Application: The Predicate 'High Risk'
Chapter 6
Application: Names and the Mental Files Framework
Chapter 7
Application: Predication and Commitment
Chapter 8
Four Concluding Thoughts
Book Details
Title
Making AI Intelligible
Subject
Computer Science
Publisher
Oxford University Press
Published
2021
Pages
184
Edition
1
Language
English
ISBN13 Digital
9780192894724
ISBN10 Digital
0192894722
PDF Size
1.1 MB
License
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