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
Part One: Moral Responsibility
1. The Lorry Driver Paradox
2. Strict Moral Answerability
3. Taking Responsibility as a Normative Power
4. Pascal's Apology
5. The Strictness First Approach
Part Two: Artificial Inteliigence
6. The Autonmous AI Conundrum
7. The Abundance of Strict Moral Answerability
8. Closing AI's Responsibility Gap at Will
9. AI and the Value of Responsibility
10. The ABC of Responsible AI
Conclusion
Product details
| Published | Oct 02 2025 |
|---|---|
| Format | Ebook (Epub & Mobi) |
| Edition | 1st |
| Extent | 272 |
| ISBN | 9781509956852 |
| Imprint | Hart Publishing |
| Series | Law and Practical Reason |
| Publisher | Bloomsbury Publishing |
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