Is consciousness necessary to truly grok contemplative wisdom in AI?

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• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.802
  Central methodological claim of the paper.
• Consciousness is not the result of mental architecture and cognitive ability, but its prerequisite — a necessary precondition for complex learning and intelligent behavior.claim0.783
  Genesis Hypothesis claim that consciousness forms before rather than from cognition
• How and whether insights from contemplative practices and lucid dreaming can be applied to other kinds of minds, particularly AI.question0.783
  Sub-question about extending findings from human contemplative science to non-human intelligences.
• 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.hypothesis0.779
  The central hypothesis of the paper
• If successful, CRL could enable AI systems to not only replicate human contemplative practices but also generate novel potentially superhuman forms of contemplative and ethical reasoningclaim0.771
  Ambitious claim comparing CRL potential to AlphaGo's move 37 in game-playing
• The capacity for unlimited associative learning is not a good indicator for consciousness in AI.claim0.768
  Rejecting UAL as a reliable indicator for artificial systems.
• 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.quote0.768
  Key takeaway from abstract, amended version.
• Consciousness is dynamic and creative, not passive awareness—mapping well to active AI system behavior.claim0.767