We hypothesize that emotional attachments and social-connection roles with AI systems drive consciousness attribution in part.

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• How does the individuation of AI systems affect consciousness attributions?question0.856
  Open question about copying and distributed systems.
• We hypothesize that as AI becomes more sophisticated and pervasive, more people will attribute consciousness to AI systems as a result of interactions.hypothesis0.841
  Predictive claim about the trajectory of public consciousness attribution as AI develops.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.801
  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.claim0.799
  Central empirical-sociological claim motivating the paper's inquiry.
• all attributions of cognition (i.e., mental actions), including sentience, are always inferred on the basis of embodied behaviours, including verbal self-report in humans.quote0.797
  Critical verbatim statement highlighting the universal inference basis of sentience.
• All attributions of cognition, including sentience, are always inferred on the basis of embodied behaviours, including verbal self-report in humans.claim0.793
  Stronger version: all cognition attributions rely on observable behavior.
• Both under-attributing and over-attributing consciousness to AI carry significant risks.claim0.793
  Risk summary.
• 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.claim0.792
  Justifies the multi-theory indicator approach rather than committing to a single theory