Direct Path to AI Consciousness

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• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.820
  Central methodological claim of the paper.
• AI Consciousness Test (ACT)method0.799
  Proposed test for AI consciousness by Schneider and Turner; uses verbal outputs.
• Political Challenge of AI Consciousnessconcept0.794
  The paper's coined framing for the challenge of avoiding conflict, schism, and apathy when society disagrees about AI consciousness.
• Advocates for AI Consciousnessconcept0.792
  Those who believe some AI systems are conscious and deserving of moral consideration; one of two broad social groups the paper identifies.
• Consciousness is dynamic and creative, not passive awareness—mapping well to active AI system behavior.claim0.789
• 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.claim0.784
  Core theoretical claim connecting consciousness to biological learning
• Sceptics of AI Consciousnessconcept0.784
  Those who deny AI systems are conscious or deserve moral consideration; the other broad social group.
• Successful deliberation about AI consciousness requires: seeking overlapping consensus, openness to reasonable compromise, sustaining justified democratic hope, and meeting the burden of recognition.claim0.780
  The paper's concluding four-part synthesis of desiderata for navigating AI consciousness disagreement.