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.

Introduction: Moral Responsibility, Old and NewPart One - The Lorry Driver Paradox1. The Lorry Driver Paradox: An Inconsistent Triad2. Solution 1: Taking Responsibility as a Normative Power3. Solution 2: Strict Moral Answerability4. Solution 3: Apologies and Regret5. Solving the Lorry Driver ParadoxPart Two - The Autonomous AI Conundrum6. The Autonomous AI Conundrum: Responsibility Gaps and Moral Repair7. Solution 1: Taking Responsibility for AI by an Act of Will8. Solution 2: Strict Responsibility and Strict Liability9. Solution 3: Retribution, Consolation, and Apologies10. Solving the Autonomous AI ConundrumConclusion: Moral Responsibility and the Legal Turn