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claim:acknowledgment-of-possible-error-about-ai-consciousness-combined-with-recognition-of-error-costs-can-motivate-overlapping-consensus-on-precautionary-policiesAcknowledgment of possible error about AI consciousness, combined with recognition of error costs, can motivate overlapping consensus on precautionary policies.
The error-sensitive model of overlapping consensus.
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- Key positive claim about the tractability of the political challenge via deliberation.
- The paper's concluding four-part synthesis of desiderata for navigating AI consciousness disagreement.
- Central empirical-sociological claim motivating the paper's inquiry.
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.818Central methodological claim of the paper.
- Supports the premise that societal disagreement will persist rather than be resolved by scientific or philosophical authority.
- First of four guidelines for deriving indicators; prevents over-restriction to human-specific features
- Predictive claim about the trajectory of public consciousness attribution as AI develops.
- Justifies the multi-theory indicator approach rather than committing to a single theory