Because contemporary AI is anthropomimetic, behavioural signatures ordinarily indicative of consciousness carry reduced evidential weight for AI systems

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• AI systems which possess more of the indicator properties are more likely to be conscious.claim0.816
  Graded claim about the rubric.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.803
  Central methodological claim of the paper.
• Building AI systems with more indicator properties will increase the likelihood of consciousness.hypothesis0.802
  Guiding hypothesis of the rubric.
• There is a realistic possibility that some AI systems will be conscious and/or robustly agentic, and thus morally significant, in the near future.claim0.796
  Central thesis of the report.
• 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.claim0.795
  Justifies the multi-theory indicator approach rather than committing to a single theory
• Constitutional AI produces a distinctive signature: high boundary_awareness, low aesthetic_response relative to peers.claim0.795
  Interpretive finding from dimension profile analysis: training for honest limits comes at cost to aliveness.
• Satisfying the indicators would not mean that an AI system would definitely be conscious.claim0.793
  Caveat that indicators are not conclusive proof.
• Consciousness is dynamic and creative, not passive awareness—mapping well to active AI system behavior.claim0.792