claim
active
claim:biological-naturalism-holds-that-properties-of-life-autopoiesis-interoceptive-inference-existential-stake-may-be-necessary-for-consciousness-ruling-out-silicon-based-ai-even-if-computational-functionalism-is-false-is-sufficient-for-the-ruling-outBiological naturalism holds that properties of life (autopoiesis, interoceptive inference, existential stake) may be necessary for consciousness, ruling out silicon-based AI even if computational functionalism is false is sufficient for the ruling out
Seth's position as summarised and engaged with in Section 9.5.
Source paper
extracted_from(2026) · Shamil Chandaria · Arvo Muñoz Morán · Fernando Rosas · Anil Seth +10
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Papers (1)
paper
Thinkers (1)
thinker
- Anil Sethstudies
Frameworks (1)
framework
- Searle and Seth's position that consciousness requires specific biological/autopoietic processes; explicitly rejected by CIMC on functionalist grounds
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Conditional underlying the consciousness route.
- Core claim enabling the indicator method's relevance to current AI systems
- If computational functionalism is false, consciousness may be impossible in non-organic artificial systems.hypothesis0.836Contrapositive possibility acknowledged.
- Conditional implication of Level 4 indicators for AI design.
- The paper's core methodological bet: use computational functionalism as a working assumption even while remaining agnostic about its truth
- Paper's argument that all viable theories of consciousness implicitly rely on structural-functional criteria
- Core theoretical framework: consciousness requires hybrid (discrete + continuous), scale-inseparable, metabolically embedded computation distinct from von Neumann architecture.
- If computational functionalism is true, conscious AI systems could realistically be built in the near term.hypothesis0.797Conditional prediction about the feasibility of conscious AI.