On the Fundamental Limitations of AI Moral Advisors
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 against 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.
Authors
- Matthieu Queloz (ORCID: https://orcid.org/0000-0001-6644-9992)
Institutions
- University of Bern (CH)
- Bern University of Applied Sciences (CH)
Publication Details
- Journal
- Philosophy & Technology
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1007/s13347-025-00896-3
- Citations
- 2
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 4.73
Funders
- National Science Foundation
- University of Bern
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung