mlsanityData to 14 Oct 2026

Moral Responsibility for AI Systems

arXiv 2310.18040 ↗First posted 27 Oct 2023cs.AI cs.CY cs.LOcited by 2

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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

  1. 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 48
  2. 2021Causal Sufficiency and Actual Causationcited by 29

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Citing papers per year: 2025: 1; 2026: 1.

2 papers.