On the Fundamental Limitations of AI Moral Advisors
Publisher DOI
Abstract
In “Against Personalized AI Moral Advisors” (Philosophy & Technology, 38(2):45, 2025), Muriel Leuenberger has argued that the personal nature of practical deliberation, which I stressed in my “Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains” (Philosophy & Technology, 38(34):1 -27, 2025a), counterintuitively militates <jats:italic>against</jats:italic> the development of personalized AI moral advisors and in favour of generalist AI moral advisors. Here, I take up and develop this line of thought, drawing out how the asystematicity of normative domains reveals the fundamental limitations of both personalized and generalist AI moral advisors.
Date Issued
2025
Publication Type
Article
Subjects
Artificial intelligence
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AI ethics
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Personalization
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Respectful Disagreement
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Moralism
Language(s)
en
Journal
Philosophy & Technology
Publisher
Springer
ISSN
2210-5433
Access(Rights)
open.access