Lifecycle Governance Doctrine (LGD)
Evidence-Gated AI Lifecycle Governance: governance of any autonomous system — AI, robots, autonomous vehicles, low-altitude systems, data assets — as a full-lifecycle chain from birth to retirement, not single-point checks.
Registered — registry at birth
Evidenced — evidence for every key act
Gated — gates before every evolution
Project sites
Portal
lgd-hub — Governance Hub
The hub of the ecosystem: registry, evidence chains, gates, and the full asset shelf.
Open lgd-hub →
Theory
lgd-theory — Doctrine & Methodology
The doctrine texts, the twelve-domain series, and the standards alignment notes.
Open lgd-theory →
Catalog
silent-failure-catalog
A structured catalog of silent failures in agentic systems, with CI-verified checks.
Open catalog →Doctrine
Formal term (EN)
Evidence-Gated AI Lifecycle Governance. 中文主权词:凡自治之物 —— 有籍 · 有证 · 有门禁。
Cite the work
Zenodo (all versions): 10.5281/zenodo.22456647 · latest: v1.7.0
Source
Theory repository: github.com/zhaoxinghua09-cell/lgd-theory
Channels
- GitHub: zhaoxinghua09-cell
- Newsletter: SynomosAI on Substack
- Community: Medical Device Lifecycle Governance (LinkedIn group)
- Archives: Zenodo concept record
Positioning: aligned with GB/Z 185—2026, ISO/IEC 42001, NIST AI RMF, the EU AI Act and IETF/CSA directions. LGD contributes the implementation layer (How), a medical-device domain instantiation, and a cross-domain master template — it does not claim precedence over existing standards or prior work.