Moral Responsibility for AI Systems
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.
Keywords
Cite
@article{arxiv.2310.18040,
title = {Moral Responsibility for AI Systems},
author = {Sander Beckers},
journal= {arXiv preprint arXiv:2310.18040},
year = {2023}
}
Comments
Accepted at NeurIPS 2023