question
active
question:can-we-develop-better-behavioural-tests-for-consciousness-in-ai-that-are-difficult-to-gameCan we develop better behavioural tests for consciousness in AI that are difficult to game?
Open question from Box 4.
Source paper
extracted_from(2023) · Patrick Butlin · Robert P. Long · Eric Elmoznino · Yoshua Bengio +15
Neighborhood — ranked by edge-count
Papers (1)
paper
Methods (1)
method
- Tests like Turing test, Artificial Consciousness Test; argued to be unreliable for AI due to mimicry.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Outstanding question about alternative or complementary assessment methods
- 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.claim0.861Central methodological claim of the paper.
- Further motivation for preferring internal computational indicators over behavioral ones
- 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.hypothesis0.811Guiding hypothesis of the rubric.
- Predictive claim about the trajectory of public consciousness attribution as AI develops.
- Justifies the multi-theory indicator approach rather than committing to a single theory
Cross-corpus bridges (1)
same_concept_as · Nomic cosineExternal markdown files that talk about the same concept as this entity.
- aboutblank_kbTuring Testframeworks/turing-test.md0.811