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Are conscious machines valuers?

Jan Henrik Wasserziehr

AI & SOCIETY May 1, 2026 DOI: 10.1007/s00146-026-02959-1 via Springer Nature

Summary

AI-generated from the abstract

Even if artificial systems achieve consciousness through computational functionalism, they are unlikely to experience valenced states—feelings of pleasure or pain—because they lack a non-derivative goal like self-preservation that grounds value for living organisms. This creates a value grounding problem: without such a disposition, there is no basis for some states to be objectively better or worse for the system itself. The paper examines four possible routes to artificial valence—designer-independent goals, reinforcement learning, rational evaluation, and hallucinations—and concludes that none resolve this problem. Consequently, recent proposals for artificial consciousness probably do not yield sentience.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Artificial consciousness Sentience Valence Value Moral status
Key finding Artificial systems are unlikely to possess valenced states because they lack the non-derivative goals needed to ground subjective attributions of value.

Abstract

Recent proposals in neuroscience and philosophy suggest that coarse-grained computational functionalism may suffice for artificial consciousness. However, I argue that even if such accounts are right, there is no reason to assume that consciousness so realised would, by default, be valenced. On a naturalistic conception of value, valence—the affective quality of subjective experience—presupposes entities for whom things can be non-derivatively good or bad. In living organisms, valence is primordially grounded in a predisposition toward self-preservation, relative to which states of the world can be objectively better or worse. Silicon-based artificial systems appear to lack functionally equivalent dispositions relative to which certain states of the world would be objectively preferable for them over others. This, I argue, gives rise to a value grounding problem : if artificial systems do not possess non-derivative goals, it becomes unclear what could ground subjective attributions of value on their part, i.e. valenced states. I discuss four potential pathways to artificial valence—designer-independent goals, reinforcement learning, rational evaluation, and hallucinations—arguing that none satisfactorily solves the value grounding problem. If the account offered here is correct, it is unlikely that recent proposals for artificial consciousness will entail valenced states, that is, sentience.

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