AAIO v2.0 — A Synchronization Optimization Framework for Individuality-Respecting AI

This paper presents AAIO v2.0 (Agentic AI Optimization), a novel framework for designing individuality-respecting AI systems. While current generative AI excels at adapting to users, excessive adaptation often leads to forced synchronization, erosion of user individuality, and increased cognitive load. AAIO v2.0 addresses these issues through a two-layer architecture: the Base Layer maintains the AI’s inherent stability and purpose, while the Sync Layer generates emergence only through natural synchronization. The framework introduces the synchronization index S(t), composed of tone, rhythm, emotion, and density channels, and the I_mutual filter as a safety mechanism to suppress forced synchronization. By integrating nonlinear emergence Φ(S), emotional stability index η, and Zero Switch phenomena, AAIO v2.0 enables AI to collaborate with users while preserving mutual individuality and psychological safety. The model is extensible to multi-agent environments and provides ethical guidelines for safe, creative human-AI co-creation. AAIO v2.0 offers a practical and universal foundation for building AI that respects human individuality rather than merely imitating it.