Moral Responsibility for AI Systems

• URL: http://arxiv.org/abs/2310.18040v1
• Date: Fri, 27 Oct 2023 10:37:47 GMT
• Title: Moral Responsibility for AI Systems
• Authors: Sander Beckers
• Abstract summary: 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. This paper presents a formal definition of both conditions within the framework of causal models.
• Score: 8.919993498343159
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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