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Philosophy and Theory of Artificial Intelligence 2021

Overview of attention for book
Cover of 'Philosophy and Theory of Artificial Intelligence 2021'

Table of Contents

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    Book Overview
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    Chapter 1 Cognitive Architectures Based on Natural Info-Computation
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    Chapter 2 Artificial Intelligence Systems, Responsibility and Agential Self-Awareness
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    Chapter 3 Models, Algorithms, and the Subjects of Transparency
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    Chapter 4 Autonomy of Attention
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    Chapter 5 Toward Out-of-Distribution Generalization Through Inductive Biases
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    Chapter 6 Is There a Trade-Off Between Human Autonomy and the ‘Autonomy’ of AI Systems?
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    Chapter 7 Towards a Taxonomy for the Opacity of AI Systems
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    Chapter 8 Validating Non-trivial Semantic Properties of Autonomous Robots
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    Chapter 9 Dignity in Digital Ethics
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    Chapter 10 An Enactive Approach to Value Alignment in Artificial Intelligence: A Matter of Relevance
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    Chapter 11 The Problem of AI Influence
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    Chapter 12 Artificial General Intelligence and the Common Sense Argument
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    Chapter 13 Moral Status of AI Systems: Evaluation of the Genetic Account
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    Chapter 14 Deception by Default
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    Chapter 15 Robot Rights in Joint Action
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    Chapter 16 Is It Likely that We Are Living in a Computer Simulation?
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    Chapter 17 Human-AI Friendship: Rejecting the Appropriate Sentimentality Criterion
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    Chapter 18 AI Risk Skepticism
Attention for Chapter 7: Towards a Taxonomy for the Opacity of AI Systems
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Citations

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Chapter title
Towards a Taxonomy for the Opacity of AI Systems
Chapter number 7
Book title
Philosophy and Theory of Artificial Intelligence 2021
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-09153-7_7
Book ISBNs
978-3-03-109152-0, 978-3-03-109153-7
Authors

Facchini, Alessandro, Termine, Alberto

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Doctoral Student 1 13%
Unknown 5 63%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 13%
Social Sciences 1 13%
Medicine and Dentistry 1 13%
Unknown 5 63%

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