Moral Responsibility for AI Systems
Not on the map. Why?
Abstract (arXiv)
As more and more decisions that have a significant ethical dimension are being outsourced to AI systems, it is important to have a definition of moral responsibility that can be applied to AI systems. Moral responsibility for an outcome of an agent who performs some action is commonly taken to involve both a causal condition and an epistemic condition: the action should cause the outcome, and the agent should have been aware -- in some form or other -- of the possible moral consequences of their action. This paper presents a formal definition of both conditions within the framework of causal models. I compare my approach to the existing approaches of Braham and van Hees (BvH) and of Halpern and Kleiman-Weiner (HK). I then generalize my definition into a degree of responsibility.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 2 of its 29 references that are in the map. First posted on arXiv 27 Oct 2023.
Builds on
2 of 29 references.
References · 2
Built on by
Citing papers per year: 2025: 1; 2026: 1.
2 papers.
- 2026Why Sampling Is Not Choosing: Intentionality, Agency, and Moral Responsibility in Large Language Models11 Jun 2026
- 2025AI Awareness25 Apr 2025