Ethical Hyper-Velocity (EHV): A Provably Deterministic Governance-Aware JIT Compiler Architecture for Agentic Systems
The article introduces Ethical Hyper-Velocity (EHV), a new framework designed for the formal verification of AI governance policies in real-time. EHV aims to address safety gaps in autonomous systems by relocating the Policy Enforcement Point into the inference pipeline. This approach significantly reduces governance latency from days to mere milliseconds, enhancing both deployment speed and governance integrity.
- ▪EHV provides a novel architectural framework for runtime verification of AI governance policies.
- ▪The framework integrates Conflict-free Replicated Data Types for policy synchronization.
- ▪EHV achieves Sub-millisecond Formal Determinism, ensuring non-compliant actions are computationally unreachable.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.17909 |
| Publication time | Tue, 19 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-19T04:04:57.272Z |
| Last seen | 2026-05-19T04:04:57.272Z |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Computer Science > Artificial Intelligence arXiv:2605.17909 (cs) [Submitted on 18 May 2026] Title:Ethical Hyper-Velocity (EHV): A Provably Deterministic Governance-Aware JIT Compiler Architecture for Agentic Systems Authors:Riddhi Mohan Sharma View a PDF of the paper titled Ethical Hyper-Velocity (EHV): A Provably Deterministic Governance-Aware JIT Compiler Architecture for Agentic Systems, by Riddhi Mohan Sharma View PDF HTML (experimental) Abstract: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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.