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Moral Responsibility and Artificial Intelligence
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Description
Part 1 introduces the Lorry Driver Paradox as a set of three individually plausible but jointly inconsistent claims. It then develops and defends the concept of strict moral answerability as the most effective solution, making it the central idea of the book, alongside an account of how 'taking responsibility' could amount to a new, hitherto neglected normative power and an exploration of the significance of apologies in our social practices.
Part 2 extends this discussion to the context of artificial intelligence, proposing a major shift in how we currently think about responsibility and AI. It challenges the conventional notion of AI-generated 'responsibility gaps' and, instead, proposes the idea of 'responsibility abundance'. This reframing, it is argued, offers distinct theoretical, dialectical, and practical advantages.
Significant parts of these arguments draw on legal scholarship, particularly considerations about reverse burdens of proof in criminal law and the waiving of state immunity in public international law. On these grounds, the book also pursues the methodological idea of a 'legal lead', that is, the idea that we can advance our understanding of moral responsibility by investigating (selected aspects of) legal responsibility, and not just the other way around.
Product details
Number of Pages:
178
Release Date:
2025-10-02
Publication Date:
2025-10-02
Publisher:
Hart Publishing
Languages:
Original:
English
ISBN10:
1509956840
ISBN13:
9781509956845
GPSR Manufacturer Reference:
Weight:
438 g
Height:
161 cm
Width:
240 cm
Thickness:
14 cm
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