伦理超高速（EHV）：一种面向智能体系统的可证明确定性、感知治理的即时编译器架构

摘要

随着自主智能体系统在受监管的关键基础设施中规模化部署，缺乏基于硬件根源的高频策略更新机械式强制执行机制，构成了根本性的安全缺口。我们提出“伦理超速”（Ethical Hyper-Velocity, EHV）——一种用于AI治理策略运行时形式验证的新型架构框架。与引入14至30天延迟的事后审计框架（如ISO/IEC 42001、NIST AI RMF）不同，EHV通过“治理感知即时（JIT）编译器”将策略执行点（PEP）移入推理流水线。通过集成用于策略同步的“冲突无关复制数据类型”（CRDTs）以及基于可信执行环境（TEE）的“时代式证明缓存”，EHV实现了“亚毫秒级形式确定性”（SMFD）。我们通过TLA+形式验证证明，在系统有界运行状态空间中，违规智能体行为在计算上是不可达的。我们还证明了O(1)的运行时执行能够消除传统上部署速度与治理完整性之间的权衡，将治理延迟从O(天数)降低至O(1)。

English

As autonomous agentic systems scale across regulated critical infrastructures, the lack of mechanistic, hardware-rooted enforcement for high-frequency policy updates presents a fundamental safety gap. We introduce Ethical Hyper-Velocity (EHV), a novel architectural framework for the formal verification of AI governance policies at runtime. Unlike retrospective auditing frameworks (ISO/IEC 42001, NIST AI RMF) which introduce 14-30 day latencies, EHV relocates the Policy Enforcement Point (PEP) into the inference pipeline via a Governance-Aware Just-In-Time (JIT) Compiler. By integrating Conflict-free Replicated Data Types (CRDTs) for policy synchronization and Epoch-based Attestation Caching within Trusted Execution Environments (TEEs), EHV achieves Sub-millisecond Formal Determinism (SMFD). We demonstrate via TLA+ formal verification that non-compliant agentic actions are computationally unreachable within the system's bounded operating state space. We prove that O(1) runtime enforcement can eliminate the traditional trade-off between deployment velocity and governance integrity, reducing Governance Latency from O(days) to O(1).