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arxiv: 2606.02121 · v1 · pith:EBGRZILBnew · submitted 2026-06-01 · 🧬 q-bio.NC

What biology can, and cannot, tell us about conscious AI

classification 🧬 q-bio.NC
keywords biologyconsciousnessinformationprocessingcapabilitiescomputationalfunctionalismmatters
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Progress in AI is turning machine consciousness from a philosophical curiosity into a societal issue, and has led to criticism of the widespread computational functionalism framework. Biological Naturalism (BN) claims that biology, not computation, is crucial for consciousness. We discuss which forms of BN are empirically testable. For Type-A-BN, biology intrinsically matters for consciousness, without affording unique information processing capabilities. We argue, similarly to the unfolding argument, that this dissociates consciousness from behaviour, making Type-A-BN untestable. For Type-B-BN, biology matters because it affords unique information processing capabilities. Type-B-BN is testable, and not incompatible with computational functionalism. Both face the same task: relating consciousness to information processing. Biology can act as a guide on this quest, but not as a solution.

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