Consciousness Detection

Current research focus in literature; contrasted with the need for systematic introspective processes.

Neighborhood — ranked by edge-count

concept

Systematic Introspective Processes
contradicts
Identified gap; methods for enabling machine consciousness development through self-examination.

cosine ≥ 0.65 · no typed edge

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

Consciousnessconcept0.835
Core concept: capacity to experience as a subject; argued to be substrate-independent and achievable across diverse biological systems.
Behavioural tests for consciousnessmethod0.807
Tests like Turing test, Artificial Consciousness Test; argued to be unreliable for AI due to mimicry.
Consciousness (phenomenal consciousness)concept0.802
The state of having subjective experiences; there is something it is like to be the subject.
Consciousness (con-scire)concept0.798
Formulated as shareable knowledge (con: together; scire: to know); associated with inference over counterfactual models
Access consciousnessconcept0.793
Information available for reasoning, report, and decision-making.
Machine Consciousnessconcept0.790
Central research domain of the paper's literature search; explores formal approaches to developing consciousness in artificial systems.
AI Consciousness Test (ACT)method0.790
Proposed test for AI consciousness by Schneider and Turner; uses verbal outputs.
consciousness benchmarksconcept0.787
Benchmarks designed to evaluate AI consciousness, which the paper argues are vulnerable to eval awareness inflation.