New Framework Explains Social Intelligence Emergence in Human-AI Interaction

Researchers have proposed a new theoretical framework, the Human-AI Coevolution Dynamics Framework (HACD-H), to explain the development of social intelligence and stable relationships in prolonged human-AI interactions. Unlike previous approaches that model social behaviors in isolated components, HACD-H offers a unified perspective, treating human-AI interaction as a self-organizing social cognitive system. The framework incorporates principles such as multi-timescale social cognition, relational attractors, and trust basins. Empirical evaluation using a large conversational dataset revealed a hierarchy of temporal persistence in social cognition, stable relational patterns, and a reduction in social cognitive energy over time, correlating with increased social intelligence. This suggests that social intelligence is an emergent property of long-term coevolution rather than individual conversational features.