AI and Consciousness

Eric Schwitzgebel

in draft, intended for the Cambridge University Press "Elements" series

This is a skeptical overview of the literature on AI consciousness. We will soon create AI systems that are conscious according to some influential, mainstream theories of consciousness but are not conscious according to other influential, mainstream theories of consciousness. We will not be in a position to know which theories are correct and whether we are surrounded by AI systems as richly and meaningfully conscious as human beings or instead only by systems as experientially blank as toasters. None of the standard arguments either for or against AI consciousness takes us far.

Table of Contents

Chapter One: Hills and Fog

Chapter Two: What Is Consciousness? What Is AI?

Chapter Three: Ten Possibly Essential Features of Consciousness

Chapter Four: Against Introspective and Conceptual Arguments for Essential Features

Chapter Five: Materialism and Functionalism

Chapter Six: The Turing Test and the Chinese Room

Chapter Seven: The Mimicry Argument Against AI Consciousness

Chapter Eight: Global Workspace Theories and Higher Order Theories

Chapter Nine: Integrated Information, Local Recurrence, Associative Learning, and Iterative Natural Kinds

Chapter Ten: Does Biological Substrate Matter?

Chapter Eleven: The Problem of Strange Intelligence

Chapter Twelve: The Leapfrog Hypothesis and the Social Semi-Solution

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