This article develops "pseudo-consciousness" as an analytical category for advanced artificial intelligence systems whose organized performance of consciousness-associated functions reshapes how they are interpreted, trusted, and governed without thereby justifying a positive attribution of phenomenal subjectivity. The central claim is not that machine consciousness is impossible in principle,...
Large Language Models (LLMs) increasingly generate outputs that resemble introspection, including self-reference, epistemic modulation, and claims about their internal states. This study investigates whether such behaviors reflect consistent, underlying patterns or are merely surface-level generative artifacts.We evaluated five open-weight, stateless LLMs using a structured battery of 21...