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arXiv 提交日期: 2026-05-18
📄 Abstract - Ethical Hyper-Velocity (EHV): A Provably Deterministic Governance-Aware JIT Compiler Architecture for Agentic Systems

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).

顶级标签: agents systems machine learning
详细标签: governance jit compiler formal verification policy enforcement trusted execution 或 搜索:

伦理超速(EHV):一种可证明确定性的、治理感知的即时编译架构,用于自主智能体系统 / Ethical Hyper-Velocity (EHV): A Provably Deterministic Governance-Aware JIT Compiler Architecture for Agentic Systems


1️⃣ 一句话总结

本文提出一种名为伦理超速(EHV)的新型架构,通过在自主智能体的推理过程中嵌入一个“治理感知”的即时编译器,能在毫秒级实时强制执行AI治理政策,从而从根本上消除传统事后审计带来的长达数周的延迟,并保证任何违规行为在计算上不可能发生。

源自 arXiv: 2605.17909