The Last Human Gate: Forward Deployed Engineering for Governance Automation
Read the original on arXiv AI →The paper presents a task‑substitution framework for Digital Governance Frameworks (DGF), treating each governance gate as an executable contract that can be automated when sufficient information, valid decision checks, and a reduction in human work are available. It introduces a residual‑work threshold and demonstrates that automating most cases can still increase labor, while a forward‑deployed architecture of agents, rule engines, evidence services, and escalation can meet the required conditions. Using the DGF‑Bench dataset of 300 synthetic projects, the authors evaluate Gemini 3.8 Flash, GPT‑5.6 Luna, and DeepSeek v4.1 Flash, achieving gate success rates of 94.98%, 83.29%, and 74.18% respectively, and complete‑route success rates of 76.92%, 42.33%, and 24.67%. whyItMatters":"The study provides empirical evidence that replacing human execution of governance‑review tasks with agents and software is technically feasible, offering a measurable framework for assessing workforce impact and ensuring decision quality."
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.