Institutional Possibility of AI Artificial Persons in a Human–AI Co-Creative Society ― A Research Program on Responsibility, Rights, and Autonomy Based on a Rational Homeostasis Model and the Cognitive Resolution Framework D=O\times A\times U ―

Abstract

Abstract This paper constructs an institutional research program to evaluate the limitations of traditional three-tiered legal frameworks (natural persons, legal entities, and agents) in handling responsibility, rights, and value attribution as artificial intelligence (AI) autonomy increases. Extending the "rational dynamic homeostasis model" and "thought resolution model D = O \times A \times U" into institutional theory, we redefine an Artificial Person not as the bestowal of human qualities, but as an institutional AI node possessing Identity Continuity (I), Responsibility Attribution (R), Contractual Capacity (C), and Governance/Auditability (G). Furthermore, we introduce a net societal homeostasis model S_{\text{net}} incorporating institutional risk terms R_{\text{AI}} (e.g., misjudgments, responsibility evasion, non-auditability). This provides an empirical analysis protocol to test under what conditions (\Delta S > 0) bestowing independent institutional personhood upon AI improves net societal functionality compared to conventional models—such as the EU AI Act—which center responsibility on human providers/deployers and require human oversight.