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.

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• 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.claim0.878
  Forward-looking assessment of how soon the method's results may have major ethical implications
• Will some AI systems be conscious in the near future?question0.861
  Key empirical question for the consciousness route.
• We hypothesize that as AI becomes more sophisticated and pervasive, more people will attribute consciousness to AI systems as a result of interactions.hypothesis0.860
  Predictive claim about the trajectory of public consciousness attribution as AI develops.
• We hypothesize that general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, and that successful implementation can be established via analysis or testing.hypothesis0.855
  The central hypothesis of the paper
• Can implementation of the specific features of consciousness contribute to the capabilities, reliability, or safety of AI systems?question0.852
  Outstanding question linking consciousness research to AI design goals
• If computational functionalism is true, consciousness in AI systems built on conventional hardware is possible in principle.claim0.847
  Core claim enabling the indicator method's relevance to current AI systems
• Expert convergence on the question of AI consciousness is unlikely in the near term.claim0.846
  Supports the premise that societal disagreement will persist rather than be resolved by scientific or philosophical authority.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.845
  Central methodological claim of the paper.