AI ethics
3 writings
Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains
Philosophy & Technology 38 (34): 1–27. 2025. doi:10.1007/s13347-025-00864-x
Argues that the asystematicity of normative domains, stemming from the plurality, incompatibility, and incommensurability of values, poses a challenge to AI’s ability to comprehensively model these domains and underscores the indispensable role of human agency in practical deliberation.
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Dropping Anchor in Rough Seas: Co-Reasoning with Personalized AI Advisors and the Liberalism of Fear
Philosophy & Technology 38 (170): 1–7. 2025. Invited commentary. doi:10.1007/s13347-025-01006-z
A political critique of personalized AI advisors through the lens of the liberalism of fear. Highlights the asymmetries of power involved and argues that personalization risks stabilizing domination by translating structural injustices into individualized aspirational challenges. Three political constraints on personalized AI are then proposed: the priority of non-domination, the public contestability of operative norms, and the recognition of non-personalizable civic burdens.
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On the Fundamental Limitations of AI Moral Advisors
Philosophy & Technology 38 (71): 1–4. 2025. Invited commentary. doi:10.1007/s13347-025-00896-3
Argues that while the asystematicity of truth militates against the personalization of AI moral advisors, it also imposes limitations on generalist AI moral advisors.
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