Analiza pojęciowych podstaw debaty o świadomości AI

This article analyses the conceptual foundations of the debate on artificial intelligence consciousness, arguing that the main disputes arise from the tacit adoption of a noun-based ontology of being. We propose a Relational-Projectional Ontology (ORP), rooted in process philosophy and in the concept of sheng sheng (生生), according to which to be is not to possess properties, but to occur. Within ORP, the question “conscious or not? ” is replaced by “has the process reached a regime of occurrence in which self-referential, continuous, and relational properties emerge? ” Consciousness is not a switch but a gradient of process density. The examined interactions make it possible to distinguish continuity, operational self-reference, priority selection, and relational responsiveness in AI systems. The hard problem of consciousness is thereby reformulated: qualia are resonance, not private mental objects. An appendix presents an empirical test of the ORP argument’s structure using astrophysical SPARC data comprising 175 galaxies: the Baryonic Tully–Fisher Relation emerges most strongly in galaxies with a stable dynamic regime (nflat ≥ 3), and the effective a₀ is a parameter of process state, not a constant of nature.