Architecture of Consciousness and Emergence in AI - Theories

The text analyzes the fundamental gap between functional information processing and subjective experience (qualia). The author invokes Ned Block's distinction between phenomenal and access consciousness, pointing out that AI's imitation of conscious behaviors is not evidence of subjectivity. David Chalmers' 'hard problem' and the concept of neural correlates of consciousness are discussed, which describe mechanisms but do not explain the nature of phenomenology. The article critically examines attempts to transpose Antonio Damasio's three-stage theory (proto-self, core consciousness, and autobiographical self) onto the architecture of artificial systems, exploring the boundaries between technical implementation and actual feeling.