claim

active

claim:biological-substrate-views-will-not-meet-the-second-criterion-for-suitable-theories-because-they-imply-conditions-that-ai-systems-straightforwardly-cannot-meet

Biological substrate views will not meet the second criterion for suitable theories because they imply conditions that AI systems straightforwardly cannot meet.

Explains why biological naturalism is excluded from current indicator derivation while still being relevant to overall assessments

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Identifying indicators of consciousness in AI systems

(2025) · Patrick Butlin · Robert P. Long · Tim Bayne · Yoshua Bengio +16

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Identifying indicators of consciousness in AI systems
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Because no one theory of consciousness is currently dominant, assessments of AI systems should draw on multiple theories and treat their conditions as indicators rather than definitive criteria.claim0.794
Justifies the multi-theory indicator approach rather than committing to a single theory
Three criteria for consciousness-capable substrates: hybrid computation, scale-inseparability with metabolic embedding, dynamico-structural co-determination.hypothesis0.788
Proposed necessary conditions for any substrate (biological or artificial) to support consciousness; integrates discrete-continuous, multiscale, and adaptive properties.
Biological Substrate Viewsframework0.784
Views holding that properties such as being made of living cells are necessary for consciousness; imply AI consciousness is impossible without unconventional hardware
Mainstream theories of consciousness are already substrate-neutral at the primitive level.claim0.777
A system-agnostic approach evaluating observable response patterns without reference to substrate offers the best roadmap for empirically fruitful unification.claim0.767
Core argumentative position: sentience assessment should focus on behavior, not substrate composition; extends to AI and robotic systems.
There is no adequate scientific theory of what it means for a biological system to 'understand', making claims about AI lack of understanding unjustifiedquestion0.765
Identified as a key research gap in cognitive science that the AI debate highlights
Most theories of consciousness are already substrate-neutral; neurocentric readings are convention, not content commitment.claim0.764
Several contemporary theorists have explicitly applied their theories to synthetic systems in light of AI and organoid bioengineering developments.finding0.763
A descriptive finding that some theorists are already extending their frameworks beyond brains.