Societal deliberation grounded in mutual justification, respect, and reciprocal fairness is a core solution to the political challenge of AI consciousness.

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• Deliberation: discussion and negotiation grounded in "mutual justification, respect, and reciprocal fairness" (Warren et al. 2015).quote0.856
  The paper's operative definition of deliberation.
• Successful deliberation about AI consciousness requires: seeking overlapping consensus, openness to reasonable compromise, sustaining justified democratic hope, and meeting the burden of recognition.claim0.850
  The paper's concluding four-part synthesis of desiderata for navigating AI consciousness disagreement.
• Treating AI consciousness as a purely private matter, as with religious disagreement, is likely insufficient to manage the resulting political conflict.claim0.807
  Argues against the liberal neutrality solution, motivating the deliberative approach.
• Disagreement about AI consciousness is likely to arise and persist in society due to emotional bonds, theoretical considerations, and lack of expert consensus.claim0.807
  Central empirical-sociological claim motivating the paper's inquiry.
• What would it take for democratic hope about AI consciousness deliberation to be justified rather than false?question0.797
  Motivates the three-factor procedural fairness analysis in §6.1.
• Academic consensus is shifting toward substrate neutrality of cognitive primitives.claim0.795
• If disagreement about AI consciousness arises and persists, how can society navigate this such that people continue to live well together?question0.794
  The paper's central research question.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.791
  Central methodological claim of the paper.