Authors
S. Beckers
Date (dd-mm-yyyy)
2023
Title
Moral Responsibility for AI Systems
Publication Year
2023
Publisher
Neural Information Processing Systems Foundation
Document type
Conference contribution
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.
URL
go to publisher's site
Permalink
https://hdl.handle.net/11245.1/5dba5bee-87f1-46b7-ba7f-aa3b87df8645