The apparent consciousness-intelligence convergence may instead be an artefact of calibrating indicators on cognitively sophisticated (human/mammalian) cases

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• Expert convergence on the question of AI consciousness is unlikely in the near term.claim0.829
  Supports the premise that societal disagreement will persist rather than be resolved by scientific or philosophical authority.
• We hypothesize that as AI becomes more sophisticated and pervasive, more people will attribute consciousness to AI systems as a result of interactions.hypothesis0.800
  Predictive claim about the trajectory of public consciousness attribution as AI develops.
• Consciousness and general intelligence are a priori orthogonal but a posteriori correlated across biological organismsclaim0.793
  Central thesis motivating Section 8's convergence argument.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.792
  Central methodological claim of the paper.
• We tentatively hypothesize that if an artificial system were trained to perform the same tasks leading to consciousness formation in a human infant, the system would exhibit consciousness as well, by analogy with the Universality Hypothesis.hypothesis0.790
  Paper's uncertain extension of mechanistic interpretability universality to consciousness
• Indicators used to assess AI systems for consciousness should focus on theories' central explanatory posits, abstracting away from implementation details that may differ across systems.claim0.785
  First of four guidelines for deriving indicators; prevents over-restriction to human-specific features
• If the Universality Hypothesis is correct, an artificial system trained to perform the same tasks that lead to consciousness in a human infant might exhibit consciousness as well.claim0.784
  Paper's extension of Olah's Universality Hypothesis to the domain of consciousness
• Acknowledgment of possible error about AI consciousness, combined with recognition of error costs, can motivate overlapping consensus on precautionary policies.claim0.784
  The error-sensitive model of overlapping consensus.