Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring 文章

ArXiv CS.CL2026-05-26NEWSen作者: Jehanne Dussert

摘要

arXiv:2605.24737v1 Announce Type: new Abstract: Current approaches to AI compliance treat conformity as a binary, audit-time verdict rather than a continuous, measurable property of production systems. We argue that this compliance fiction is structurally ill-suited to the requirements of the EU AI Act, which demands ongoing human oversight and the detection of emergent behavioural drift in deployed systems. We introduce governance from metrics, a principle whereby regulatory compliance is derived as a continuous signal from runtime observability rather than from static assessments. Building on this principle, we present govllm, an open-source framework implementing a governance-driven routing architecture in which model selection is determined by accumulated compliance scores rather than by latency or cost alone.