There exists no viable behavioral test for consciousness analogous to the Turing Test for intelligence, because consciousness is a particular internal way to achieve performance, not externally visible performance itself.

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• Can we develop better behavioural tests for consciousness in AI that are difficult to game?question0.872
  Open question from Box 4.
• It is basically impossible to determine if a computer program generates conscious experience by merely observing its performance; a test for consciousness must take internal structure into account.claim0.857
  Paper's argument against behavioral tests for consciousness, establishing why MCH requires internal analysis
• Tests of performance on specific tasks, including language modeling, are insufficient for determining consciousness statusclaim0.842
  Systems directly optimized for output can produce it without the prerequisite processes for conscious experience; simplest explanation for LLM consciousness reports is pattern matching
• Behavioural tests for consciousnessmethod0.838
  Tests like Turing test, Artificial Consciousness Test; argued to be unreliable for AI due to mimicry.
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.836
  Central methodological claim of the paper.
• Consciousness remains without an agreed scientific characterization, without a validated theory connecting mechanism to experience, and without criteria for establishing its presence or absence in any systemclaim0.820
  CIMC's characterization of the current state of the field motivating its research program
• Consciousness is the simplest learning algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent in service of agencyhypothesis0.818
  CIMC's specific account of what consciousness is and why it evolved
• Consciousness is a phenomenon we have partial sensors for; building better sensors is a research and engineering question.claim0.816