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Connected and Automated Vehicles: Integrating Engineering and Ethics

Overview of attention for book
Connected and Automated Vehicles: Integrating Engineering and Ethics
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 Minding the Gap(s): Different Kinds of Responsibility Gaps Related to Autonomous Vehicles and How to Fill Them
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    Chapter 3 Contextual Challenges to Explainable Driving Automation: The Case of Machine Perception
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    Chapter 4 Design for Inclusivity in Driving Automation: Theoretical and Practical Challenges to Human-Machine Interactions and Interface Design
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    Chapter 5 From Prototypes to Products: The Need for Early Interdisciplinary Design
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    Chapter 6 Gaming the Driving System: On Interaction Attacks Against Connected and Automated Vehicles
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    Chapter 7 Automated Driving Without Ethics: Meaning, Design and Real-World Implementation
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    Chapter 8 Thinking of Autonomous Vehicles Ideally
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    Chapter 9 Thinking About Innovation: The Case of Autonomous Vehicles
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    Chapter 10 Autonomous Vehicles, Artificial Intelligence, Risk and Colliding Narratives
Attention for Chapter 7: Automated Driving Without Ethics: Meaning, Design and Real-World Implementation
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Readers on

mendeley
2 Mendeley
Summary
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Chapter title
Automated Driving Without Ethics: Meaning, Design and Real-World Implementation
Chapter number 7
Book title
Connected and Automated Vehicles: Integrating Engineering and Ethics
Published in
Studies in Applied Philosophy, Epistemology and Rational Ethics, January 2023
DOI 10.1007/978-3-031-39991-6_7
Book ISBNs
978-3-03-139990-9, 978-3-03-139991-6
Authors

Evans, Katherine, de Moura, Nelson, Chauvier, Stéphane, Chatila, Raja

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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