Human-AI Coevolution Dynamics Framework

HACD-H: Formal theory of social intelligence emergence in long-term human-AI interaction

Researchers propose the Human-AI Coevolution Dynamics Framework (HACD-H), a formal dynamical model treating long-term human-AI interaction as a self-organizing social cognitive system. The framework unifies emotional adaptation, relational organization, social memory, and personality consistency, introducing concepts like relational attractors, trust basins, and social cognitive energy. Empirical evaluation on a ~14,700-turn conversational dataset finds that social intelligence correlates negatively with social cognitive energy (r = -0.391) and that interaction trajectories show progressive energy reduction and phase-transition-like developmental patterns. The work argues social intelligence emerges from coevolution over time rather than from isolated conversational capabilities.