Moral Responsibility for AI Systems
October 27, 2023 Β· Declared Dead Β· π Neural Information Processing Systems
"No code URL or promise found in abstract"
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Authors
Sander Beckers
arXiv ID
2310.18040
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY,
cs.LO
Citations
5
Venue
Neural Information Processing Systems
Last Checked
4 months ago
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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