A Unified Terminological Framework for AI-Mediated Decision Systems

This paper develops a unified terminological framework for AI-mediated decision systems by integrating core concepts including Signal Decoupling, Attribution Collapse, Decision Mediation Layer (DML), AI-to-AI Interaction (A2A), Distributional Control Framework (DCF), and Decision Authority Economy (DAE) into a single analytical structure. Rather than proposing isolated mechanisms, the paper formalizes the relationships among previously fragmented concepts and organizes them into a six-layer hierarchical framework spanning signal disruption, system mediation, competitive restructuring, and macro-level economic transformation. The framework is intended as a conceptual interface for future research on AI-mediated decision environments, agent-driven systems, platform governance, attribution instability, and decision authority infrastructures. This work also serves as a standardized terminology reference and canonical integration layer for the broader AI Decision Mediation Framework developed by the author.