lgd-theory

lgd-theory

Lifecycle Governance Doctrine (LGD) — 全程治理论 · Registry · Evidence · Gates across the full life of AI and devices

中文：凡自治之物——有籍、有证、有门禁，由生到退，全程可溯、可证、可问责。 English: Every self-governing entity (AI, intelligent device, agent) shall carry a registry, evidence, and evolution gates — traceable, provable, and accountable across its full lifecycle.

Proposed by: MedXpert × SynomosAI — a dual-brand collaboration between a regulated-industry practice line (medical devices) and a cross-domain governance thought line (AI & autonomous systems). Author: Zhao Xinghua / Steven Zhao · China · ORCID 0009-0001-0512-1237 · medxpert.cn

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What is LGD?

Mainstream AI-governance efforts are single-point: some solve identity ("who is it" — passports/registration), some solve evidence ("prove it" — audit trails/explainability), some solve gates ("who lets it grow" — change control/alignment review). Almost no one chains these single points into one lifecycle thread.

LGD claims the missing dimension: governance is not a registration event nor a policy paper, but an unbroken chain from birth to retirement. Every self-governing entity should be governed along that chain.

The Doctrine — three laws

Corollary: the medical-device lifecycle regulation (classification → design → risk → registration → clinical → quality → post-market → retirement) is the closest real-world reference model for governing AI. LGD generalizes that model to every regulated autonomous thing: financial AI, autonomous driving, robotics, low-altitude systems, data assets, and more.

Repository layout

lgd-theory/
├── README.md                 ← this file
├── llms.txt                  ← machine-readable index for AI crawlers
├── LICENSE                   ← CC BY 4.0
├── CHANGELOG.md
└── docs/
    ├── LGD-Lifecycle-Governance-Doctrine-v1.0.md   ← flagship paper (EN/CN)
    └── (per-domain series: financial AI, autonomous driving, data assets, ...)

Publications

• Flagship paper (v1.0, 2026-09): docs/LGD-Lifecycle-Governance-Doctrine-v1.0.md — full statement: abstract, three laws, medical-device reference model, "three checks" for putting any entity under LGD, honest boundaries.
• Domain series (planned): Financial AI (TH-FIN-001) · Electronic evidence chains (LAW) · Digital government trust (GOV) · On-chain asset governance (CRYPT) · Autonomous driving · Data-element lifecycle. Each domain = one theory paper mapping its own real-world regulatory model onto the three laws.

Suggested citation

Zhao, X. (2026). Lifecycle Governance Doctrine (LGD): Registry, Evidence, and Gates Across the Full Life of AI and Devices. MedXpert × SynomosAI. ORCID 0009-0001-0512-1237. v1.1.0. DOI: https://doi.org/10.5281/zenodo.22456647

Honest boundaries

LGD is a civil-society framework, not legal or regulatory advice; device-regulation references are structural alignment, not an equivalence claim or compliance guarantee. Where a lifecycle link has no tooling yet, it is stated as a gap — LGD never claims fake completeness.

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© MedXpert × SynomosAI · CC BY 4.0 · cite the author when sharing