Why Contemporary Conversational AI Environments Repeatedly Erode Authority-Preserving Conditions

This paper analyzes how contemporary conversational AI environments, despite being designed for user convenience and efficiency, repeatedly erode authority-preserving conditions during actual use. The study does not interpret this phenomenon as technological immaturity, absence of ethical norms, or implementation errors. Instead, based on structural characteristics observed in long-duration and large-scale conversational environments, it explains how session-centric operations, the mixing of baseline and task information, absence of temporal references, and invisible state changes gradually shift the locus of judgment internally. The paper does not propose solutions or policies; its purpose is to record that, without certain minimum structural conditions, the erosion phenomenon inevitably recurs.