Expert Oversight Network (EON): A Paradigm for Trustworthy AI-Driven Professional Advice

Description Expert Oversight Network (EON): A Paradigm for Trustworthy AI-Driven Professional AdviceCivilization Physics — Applied Governance Architecture This paper introduces the Expert Oversight Network (EON) — a scalable, human-in-the-loop oversight architecture designed to make AI-generated professional advice safe, accountable, and trustworthy across high-stakes domains such as healthcare, law, finance, and engineering. EON embeds certified human experts directly into the operational loop of AI advisory systems through randomized audits, independent peer review, and structured feedback pipelines. For every AI-generated output, a percentage is routed to multiple licensed professionals who validate the answer, correct errors, and feed their revisions back into the model. Users receive transparent indicators of oversight coverage (e.g., “Reviewed by 3 independent experts through a 10% random audit”), while AI systems continuously learn from expert supervision. Grounded in Frame Theory (Presence × Integrity) and the Entropy Law (R), the paper shows how EON simultaneously provides: Presence — visible human engagement, transparency, accountability, and user-facing legitimacy Integrity — factual accuracy, ethical consistency, and professional-grade corrections Negative Entropy — fresh human truth signals that counteract recursive model collapse and prevent synthetic-data drift EON is proposed as a practical mechanism to satisfy emerging AI regulations, clarify legal responsibility, empower professionals rather than replace them, and create a sustainable quality-assurance layer for advanced AI deployment. The paper outlines EON’s architecture, workflow, incentive structures, audit logic, governance interfaces, and domain-specific use cases, including medical diagnosis support and legal contract analysis. As part of the Civilization Physics framework, EON operationalizes a core principle for the AI age: humans must preserve the frame (oversight, ethics, judgment), while AI executes within that frame (speed, scale, computation). This hybrid governance model offers a path toward trustworthy, aligned, and stable AI-driven expert systems. Keywords: Expert Oversight · Human-in-the-Loop · AI Governance · Frame Theory · Presence × Integrity · Professional Advice · Negative Entropy · Model Collapse · Trustworthy AI · Civilization Physics