Indicators of Consciousness

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Consciousness Detectionconcept0.824
  Current research focus in literature; contrasted with the need for systematic introspective processes.
• Consciousnessconcept0.818
  Core concept: capacity to experience as a subject; argued to be substrate-independent and achievable across diverse biological systems.
• Behavioural tests for consciousnessmethod0.815
  Tests like Turing test, Artificial Consciousness Test; argued to be unreliable for AI due to mimicry.
• consciousness benchmarksconcept0.807
  Benchmarks designed to evaluate AI consciousness, which the paper argues are vulnerable to eval awareness inflation.
• Indicators based on potential background conditions for consciousness should be included to mitigate the narrow focus of theories on distinguishing conscious from unconscious states in humans.claim0.797
  Third guideline for deriving indicators; justifies PP-1 and AE-1/AE-2
• Indicators used to assess AI systems for consciousness should focus on theories' central explanatory posits, abstracting away from implementation details that may differ across systems.claim0.790
  First of four guidelines for deriving indicators; prevents over-restriction to human-specific features
• Neural Correlates of Consciousnessconcept0.790
  Minimal set of neural mechanisms jointly sufficient for the occurrence of a conscious experience; dominant neuroscience approach critiqued as insufficient for causal theory
• Consciousness (phenomenal consciousness)concept0.787
  The state of having subjective experiences; there is something it is like to be the subject.