
Connected and Automated Vehicles: Integrating Engineering and Ethics
Description
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This book reports on theoretical and practical analyses of the ethical challenges connected to driving automation. It also aims at discussing issues that have arisen from the European Commission 2020 report "Ethics of Connected and Automated Vehicles. Recommendations on Road Safety, Privacy, Fairness, Explainability and Responsibility". Gathering contributions by philosophers, social scientists, mechanical engineers, and UI designers, the book discusses key ethical concerns relating to responsibility and personal autonomy, privacy, safety, and cybersecurity, as well as explainability and human-machine interaction. On the one hand, it examines these issues from a theoretical, normative point of view. On the other hand, it proposes practical strategies to face the most urgent ethical problems, showing how the integration of ethics and technology can be achieved through design practices. All in all, this book fosters a multidisciplinary approach where philosophy, ethics, and engineering are integrated, rather than just juxtaposed. It is meant to inform and inspire an audience of philosophers of technology, ethicists, engineers, developers, manufacturers, and regulators, among other interested readers.
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Content
1.Chapter 1:Minding the Gap(s). Different Kinds of Responsibility Gaps Related to Autonomous Vehicles and How to Fill Them.- Chapter 2 Designing Driving Automation for Human Autonomy. Self Determination, the Good Life, and Social Deliberation.- Chapter 3 Contextual Challenges to Explainable Driving Automation. The Case of Machine Perception.- Chapter 4 Design for Inclusivity in Driving Automation. Theoretical and Practical Challenges to Human-Machine Interactions and Interface Design.- Chapter 5 From Prototypes to Products. The Need for Early Interdisciplinary Design.- Chapter 6 Gaming the Driving System. On Interaction Attacks against Connected and Automated Vehicles.- Chapter 7 Automated Driving Without Ethics: Meaning, Design and Real-World Implementation.- 8 Thinking of Autonomous Vehicles Ideally.- Chapter 9 Thinking about Innovation: The Case of Autonomous Vehicles.- Chapter 10 Autonomous Vehicles, Artificial Intelligence, andColliding Narratives.
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