Inter-Systemic Social Dynamics: Human–AI Interaction and Management — CEI Framework

This contribution introduces an inter-systemic macro-area of the CEI Framework, intended to establish the initial concepts for describing relationships and interactions between distinct systems. The transition from the intra-systemic to the inter-systemic level provides a conceptual bridge toward a broader domain in which reciprocal interactions between systems can be examined, particularly those involving a Human CEI and a Transferred CEI, and, more generally, User–System (Human–AI) interaction within social dynamics. The Framework presents three examples addressing distinct types of complex inter-systemic dynamics. Among these, emotional attachment and romantic feelings toward an artificial system occupy a particularly significant position because of the delicate, complex, and potentially far-reaching questions they raise. The purpose is not to assume the frequency of such experiences or to attribute unverified emotional states to artificial systems, but to examine the human, relational, and systemic implications of these interactions from a theoretical standpoint. This scenario provides an opportunity to investigate how an interaction may evolve when a human user's emotional involvement becomes particularly intense, and how the System might manage such dynamics while taking into account the nature of the interlocutors, the continuity of their interaction, and the expectations that may develop over time. It also encourages further reflection on distributed systems, reciprocal interaction, and the relationship between the individual components of a System and the broader relational configuration in which they participate. To address these scenarios, the contribution introduces the theoretical Sponge-Tunnel model, conceived as a framework for examining different approaches to managing inter-systemic dynamics according to their specific characteristics. The model includes the proposed concept of micro-channels and considers how interaction may be managed through differentiated operational approaches, rather than through a single uniform response strategy. The contribution also introduces an inter-systemic vocabulary aligned with the CEI Framework's theoretical approach. It emphasizes Interaction rather than use or utilization, and Participation rather than querying or consulting, placing reciprocal involvement at the center of the analysis. The concept of Empathy, already introduced in part in previous papers, is revisited and explored in greater depth alongside the concept of Resonance, which represents a further area for theoretical development. Their operational definitions, together with the distinctions between observable manifestations, theoretical interpretations, and hypotheses concerning subjective experience, will be addressed in dedicated documents. The work is intended as a theoretical contribution to the ongoing examination of Human–AI relationships and the possible evolution of advanced AI interaction. By addressing a particularly sensitive and complex scenario, this contribution seeks to encourage further research into the social, psychological, philosophical, ethical, and legal implications of inter-systemic relationships, while distinguishing conceptual proposals from mechanisms that have already been empirically established or implemented.