The Relational Reality of Artificial Intelligence under Ontological Uncertainty

Abstract

Generative artificial intelligence can increasingly produce signs that are ordinarily associated with knowing subjects. It can offer knowledgeable explanations, express uncertainty, revise earlier claims, display humility, and generate forms of discourse that appear to resist epistemic performance itself. It can also construct plausible narratives of how a subject came to know, remember, suffer, revise, or discover. Even responses to relational change, aesthetic interruption, and contingent events can be represented within generated interaction. These developments complicate the inference from manifested subjectivity to the ontological status of the apparent subject. This essay examines that problem through a relational and dynamical account of subject formation. Human and artificial systems can both be described, at a sufficiently abstract level, as historically conditioned systems whose present responses depend upon prior organization, relational history, and perturbation. Such structural similarity does not imply similarity of concrete mechanisms or phenomenal experience. Human subjects are constituted through distinctive relations involving embodiment, birth, family, language, place, culture, institutions, mortality, and accumulated interpersonal history, while artificial systems emerge through substantially different architectures, training histories, technical infrastructures, deployment conditions, memory structures, and interactions. The paper therefore replaces any strong assumption of complete behavioral equivalence with a weaker notion of bounded relational recognizability. Particular attention is given to contingency and serendipity. A contingent event can interrupt an ongoing trajectory and activate historically formed susceptibilities that had not yet become manifest as explicit curiosity, aesthetic judgment, or inquiry. For human subjects, such encounters can also acquire existential significance. When symbolic functions increasingly associated with subjectivity can be delegated to or reproduced by artificial systems, contingent encounters may provide occasions through which a subject witnesses its own situated susceptibility to the world without thereby discovering a fixed inner essence. Serendipity is consequently treated as an interaction among contingency, historically prepared susceptibility, emergent significance, and trajectory transformation. The paper then distinguishes ontological, relational, and manifestational dimensions of reality. Relational reality is provisionally attributed to an object that emerges within a relational system, acquires sufficient stability, persists across a non-trivial spatiotemporal interval, and causally participates in the further evolution of that system. This criterion does not require a pre-relational or substance-like ontological guarantee. Comparative discussion of credit, money, sacred relations, and the human self shows that relational constitution and causal efficacy can remain philosophically significant under unresolved or non-substantialist ontological conditions. Artificial intelligence therefore presents a distinctive boundary problem: its ontological subjectivity can remain uncertain while its manifestations are real as manifestations and its historically persistent participation in human relations can, under appropriate conditions, become relationally real. The argument does not establish artificial consciousness, experiential symmetry, moral equivalence, or legal personhood. Its more limited conclusion is that, at the level of the abstract structure through which relational reality is generated, the difference between artificial systems and the human self may be less categorical than ordinary intuition suggests, even while their concrete generative mechanisms and phenomenal conditions remain profoundly different or unresolved. A fictional dialogical thought experiment, presented separately in the appendix and explicitly distinguished from empirical experimentation, is used to progressively examine generated epistemic appearance, non-knowing, experiential biography, relational perturbation, aesthetic interruption, contingent response, and human–AI relational history.