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May 8, 20260 citationsOpen Access

A Unified Terminological Framework for AI-Mediated Decision Systems

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SXShen Xu

Key Points

  • The aim is to create a coherent framework that connects diverse concepts in AI-mediated decision systems.
  • Integrates core concepts into a six-layer hierarchical framework.
  • Formalizes relationships among fragmented ideas.
  • Serves as a terminology reference and integration layer for broader AI decision frameworks.
  • Establishes a structured approach to signal disruption and system mediation.
  • Facilitates understanding of competitive restructuring in AI contexts.
  • Promotes macro-level economic transformation concepts related to decision authority.

Abstract

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.

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Cite This Study

Shen Xu (2026) studied this question.

synapsesocial.com/papers/69fd7ec6bfa21ec5bbf07154https://doi.org/10.5281/zenodo.20053023
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