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Moral Responsibility and Artificial Intelligence

Moral Responsibility and Artificial Intelligence cover

Moral Responsibility and Artificial Intelligence

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Description

This book uses the 'Lorry Driver Paradox', a novel puzzle, to explore and clarify our understanding of moral responsibility, to break new ground in the ethics of artificial intelligence (AI), and to connect moral philosophy, legal theory, and AI ethics. It supports a 'legal turn', i.e. the idea that an inquiry into legal responsibility can guide an inquiry into moral responsibility, and not just the other way around.

It presents a novel conception of strict answerability, as opposed to strict liability, and argues that taking responsibility is a genuine normative power, like consenting or promising. It elaborates on the moral significance of apologies in our social and legal practices.

The book presents a paradox-driven methodology, through a combination of legal and philosophical perspectives, and provides solutions to challenges around 'responsibility gaps' and trustworthy AI.

Table of Contents

Introduction: Moral Responsibility, Old and New

Part One - The Lorry Driver Paradox
1. The Lorry Driver Paradox: An Inconsistent Triad
2. Solution 1: Taking Responsibility as a Normative Power
3. Solution 2: Strict Moral Answerability
4. Solution 3: Apologies and Regret
5. Solving the Lorry Driver Paradox

Part Two - The Autonomous AI Conundrum
6. The Autonomous AI Conundrum: Responsibility Gaps and Moral Repair
7. Solution 1: Taking Responsibility for AI by an Act of Will
8. Solution 2: Strict Responsibility and Strict Liability
9. Solution 3: Retribution, Consolation, and Apologies
10. Solving the Autonomous AI Conundrum

Conclusion: Moral Responsibility and the Legal Turn

Product details

Published Aug 07 2025
Format Hardback
Edition 1st
Extent 272
ISBN 9781509956845
Imprint Hart Publishing
Dimensions 234 x 156 mm
Series Law and Practical Reason
Publisher Bloomsbury Publishing

About the contributors

Author

Maximilian Kiener

Maximilian Kiener is Extraordinary Junior Research…

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