method
active
method:ai-consciousness-test-actAI Consciousness Test (ACT)
Proposed test for AI consciousness by Schneider and Turner; uses verbal outputs.
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Papers (1)
paper
- Taking AI Welfare Seriouslymentions
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.
- 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.claim0.824Central methodological claim of the paper.
- Building conscious and/or agentic AI intentionally.
- Current research focus in literature; contrasted with the need for systematic introspective processes.
- Paper identifies as a research gap requiring internal analysis methods rather than behavioral benchmarks
- Systems directly optimized for output can produce it without the prerequisite processes for conscious experience; simplest explanation for LLM consciousness reports is pattern matching
- Information available for reasoning, report, and decision-making.
- Core concept: capacity to experience as a subject; argued to be substrate-independent and achievable across diverse biological systems.