Can we develop better behavioural tests for consciousness in AI that are difficult to game?

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• 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.claim0.872
  Paper identifies as a research gap requiring internal analysis methods rather than behavioral benchmarks
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.861
  Central methodological claim of the paper.
• Tests of performance on specific tasks, including language modeling, are insufficient for determining consciousness statusclaim0.823
  Systems directly optimized for output can produce it without the prerequisite processes for conscious experience; simplest explanation for LLM consciousness reports is pattern matching
• Building AI systems with more indicator properties will increase the likelihood of consciousness.hypothesis0.811
  Guiding hypothesis of the rubric.
• 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.quote0.803
  Key takeaway from abstract, amended version.
• Consciousness is a phenomenon we have partial sensors for; building better sensors is a research and engineering question.claim0.802
• The theory-heavy approach is most suitable for investigating consciousness in AI.claim0.802
  Preferring architectural/functional assessment over behavioural tests.
• We take our principal contributions in this report to be: 1. Showing that the assessment of consciousness in AI is scientifically tractable ... 2. Proposing a rubric for assessing consciousness in AI ... 3. Providing initial evidence that many of the indicator properties can be implemented in AI systems using current techniques ...quote0.798
  Summary of contributions.