We hypothesize that as AI becomes more sophisticated and pervasive, more people will attribute consciousness to AI systems as a result of interactions.

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• We hypothesize that AI consciousness may be realized in the near term if AI capabilities continue to develop, given that researchers have intentionally reproduced computational features associated with human consciousness.hypothesis0.860
  Motivates urgency of the assessment method
• Can implementation of the specific features of consciousness contribute to the capabilities, reliability, or safety of AI systems?question0.848
  Outstanding question linking consciousness research to AI design goals
• How does the individuation of AI systems affect consciousness attributions?question0.847
  Open question about copying and distributed systems.
• Given that it may already be possible to build AI systems that possess many of the indicators, some near-future AI systems will be plausible candidates for consciousness.claim0.843
  Forward-looking assessment of how soon the method's results may have major ethical implications
• We hypothesize that emotional attachments and social-connection roles with AI systems drive consciousness attribution in part.hypothesis0.841
  Proposed causal mechanism behind lay attribution of AI consciousness.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.840
  Central methodological claim of the paper.
• Building AI systems with more indicator properties will increase the likelihood of consciousness.hypothesis0.840
  Guiding hypothesis of the rubric.
• 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.hypothesis0.837
  Paper's uncertain extension of mechanistic interpretability universality to consciousness