If computational functionalism is true, conscious AI systems could realistically be built in the near term.

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• If computational functionalism is true, consciousness in AI systems built on conventional hardware is possible in principle.claim0.919
  Core claim enabling the indicator method's relevance to current AI systems
• If computational functionalism is correct, then some computations suffice for consciousness and the question is which ones and when they will exist in AI.hypothesis0.872
  Conditional underlying the consciousness route.
• We hypothesize that adopting computational functionalism as a working assumption allows productive investigation of which computational properties are necessary and sufficient for consciousness and whether current AI systems could implement them.hypothesis0.856
  The paper's core methodological bet: use computational functionalism as a working assumption even while remaining agnostic about its truth
• If computational functionalism is false, consciousness may be impossible in non-organic artificial systems.hypothesis0.853
  Contrapositive possibility acknowledged.
• If it is possible at all to build conscious AI systems without radically new hardware, it may well be possible now.quote0.847
  Striking claim about feasibility.
• Computational functionalism is plausible and well-supported, so it would be a mistake to dismiss near-future AI welfare solely on the basis of high-level arguments against this assumption.claim0.842
  Defense against biological substrate objections.
• There is a realistic possibility that some AI systems will be conscious and/or robustly agentic, and thus morally significant, in the near future.claim0.841
  Central thesis of the report.
• our analysis suggests that no current AI systems are conscious, but also suggests that there are no obvious technical barriers to building AI systems which satisfy these indicators.quote0.838
  Key takeaway from abstract, amended version.