Agent Epistemic Accountability Layer: A Framework for Runtime Verification and Trust Calibration of Autonomous AI Agent Outputs

Agent Epistemic Accountability Layer (AEAL) is a framework designed to provide runtime verification and trust calibration for autonomous AI agent outputs. As AI systems increasingly operate with partial autonomy across scientific, industrial, and operational domains, the need for transparent, inspectable, and behaviorally accountable agent reasoning becomes critical. AEAL introduces a structured mechanism for evaluating the epistemic soundness of agent‑generated claims, decisions, and actions. This report defines the conceptual architecture of AEAL, outlines its verification pathways, and presents a methodology for assessing agent behavior under uncertainty. The framework is intended as a foundational…