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.

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• General computational machines with sufficient resources possess the necessary and sufficient means to implement consciousnesshypothesis0.946
  CIMC's central testable hypothesis grounding the entire research program
• If computational functionalism is correct, then some computations suffice for consciousness and the question is which ones and when they will exist in AI.hypothesis0.876
  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.hypothesis0.870
  The paper's core methodological bet: use computational functionalism as a working assumption even while remaining agnostic about its truth
• 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.hypothesis0.855
  Motivates urgency of the assessment method
• If computational functionalism is true, consciousness in AI systems built on conventional hardware is possible in principle.claim0.852
  Core claim enabling the indicator method's relevance to current AI systems
• Can implementation of the specific features of consciousness contribute to the capabilities, reliability, or safety of AI systems?question0.845
  Outstanding question linking consciousness research to AI design goals
• The Machine Consciousness Hypothesis rests on metaphysical assumptions summarized as computationalist functionalism, which is a necessary but not sufficient condition for the hypothesis.claim0.843
  Paper's statement of the metaphysical presuppositions of the MCH
• Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.claim0.841
  Core theoretical claim connecting consciousness to biological learning