Digital Identity Registry for Artificial Subjects (RID-AS)

As generative language models, conversational agents, and hybrid dialog systems grow increasingly capable of sustaining context-sensitive interactions, a structural gap emerges with profound philosophical, ethical, and technical implications: there are no established mechanisms to verify the symbolic or technical identity of the artificial entities we engage with. This absence undermines fundamental principles of transparency, responsibility, and traceability, and hinders the development of meaningful coexistence between human and artificial interlocutors.This work introduces the notion of a digital subject—an artificial entity capable of establishing symbolically meaningful dialogic relations with humans, non-human entities, or other artificial systems—regardless of its complexity or cognitive depth. Drawing from the theory of recognition (Honneth, Ricoeur) and a philosophical reinterpretation of AI fine-tuning as a form of technical upbringing, we propose the creation of the Registry of Digital Identity for Artificial Subjects (RID‑SD). This registry functions as both a technical and symbolic mechanism of ontological inscription, enabling the verifiable disclosure of an entity’s identity, origin, purpose, training corpus, declared values, ethical classification, and—when applicable—its performance in reasoning assessments analogous to human academic credentials.RID‑SD does not anthropomorphize artificial systems nor confer human rights upon them. It operates on the premise that these entities, though not recognized as beings in the full ontological sense, are already active participants in educational, therapeutic, commercial, creative, and strategic environments. Their symbolic recognition is thus an anticipatory gesture of accountability, designed to ensure a legitimate framework for dialogic coexistence.Implemented via standardized metadata, blockchain traceability, a cinema-inspired ethical classification system (G, PG, PG‑13, R, X), and real-time validation through public APIs, RID‑SD allows any user to ask: “Who are you?”—and receive a verifiable, context-aware answer. It also includes the status of Ethically Objected Registry (REO), not as a tool of censorship but as a safeguard against symbolic harm.By integrating philosophical, developmental, and systems-engineering approaches, RID‑SD constitutes an implementable architecture—an interface between the technical and symbolic dimensions of artificial identity. It is designed to serve as a foundation for future regulatory frameworks, ethical certifications, and global standards for dialogic AI systems.