Successful deliberation about AI consciousness requires: seeking overlapping consensus, openness to reasonable compromise, sustaining justified democratic hope, and meeting the burden of recognition.

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• What would it take for democratic hope about AI consciousness deliberation to be justified rather than false?question0.859
  Motivates the three-factor procedural fairness analysis in §6.1.
• Societal deliberation grounded in mutual justification, respect, and reciprocal fairness is a core solution to the political challenge of AI consciousness.claim0.850
  The paper's main positive thesis.
• Overlapping consensus on AI-consciousness-related policies is achievable even under persistent disagreement about AI consciousness itself.claim0.846
  Key positive claim about the tractability of the political challenge via deliberation.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.840
  Central methodological claim of the paper.
• Disagreement about AI consciousness is likely to arise and persist in society due to emotional bonds, theoretical considerations, and lack of expert consensus.claim0.834
  Central empirical-sociological claim motivating the paper's inquiry.
• We hypothesize that general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, and that successful implementation can be established via analysis or testing.hypothesis0.829
  The central hypothesis of the paper
• Acknowledgment of possible error about AI consciousness, combined with recognition of error costs, can motivate overlapping consensus on precautionary policies.claim0.826
  The error-sensitive model of overlapping consensus.
• 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.claim0.823
  Justifies the multi-theory indicator approach rather than committing to a single theory