The S7 Framework: Toward Safe and Symmetric Multi-Subject Intelligence Systems

Abstract The S7 framework introduces a novel approach for governing interactions between heterogenous intelligent agents. Unlike conventional AI safety regulations, S7 emphasizes structural symmetry, minimum interference, and verifiable system stability. This paper presents a comprehensive blueprint integrating legal, technical, and policy considerations, clarifying its distinction from AI rights discourse, providing counterpoints to existing AI safety principles, and demonstrating potential real-world applications in industrial, military, and service environments.