凡自治之物 · LGD 治理学 · 创造术家族 | 评测协议:见平台质量门禁规范
English
When to use
- Before a financial AI system goes live, to confirm the algorithm model holds advisory or risk-control licensed qualifications.
- Before external data ingestion, to check that the source meets the "registered · evidenced" identity-authentication requirement.
- As the admission gate before high-sensitive transaction decisions (credit approval, large transfers) are triggered.
Usage
Call the core script fin_guard.py to run the compliance check, with configurable check dimensions. Example: python fin_guard.py --mode=guard --entity=<AI system id> --scope=qualification/permission. Here --mode is audit or gate, and --entity is the model or business ID under check.
Workflow
- Identify the AI application module under compliance verification and its associated business scenario.
- Run
python fin_guard.py, passing the entity ID and the three-laws determination mode. - The script reads the files and performs the internal LGD three-laws (registered · evidenced · gated) self-assessment.
- Generate the compliance verdict report, stating pass/reject and the specific missing items.
- The system automatically allows passage or blocks the data flow based on the result.
Evidence & safety statement
- Evidence: TBD (no evaluation / badge link yet; update here once it is produced)
- Version: 1.0.1
- Security: no independent security scan has been performed (TBD); the conclusion is pending and no endorsement is given until it is completed.
中文
何时用
- 金融 AI 系统上线前,需确认算法模型具备投顾或风控持牌资质。
- 外部数据接入前,校验源端是否满足“有籍·有证”身份认证要求。
- 高敏感交易决策(如信贷审批、大额转账)触发前的准入门禁判定。
用法
调用核心脚本 fin_guard.py 执行合规检查逻辑,支持参数配置校验维度。例如:python fin_guard.py --mode=guard --entity=<AI 系统标识> --scope=资质/权限,其中--mode设定为audit(审计)或gate(门禁),--entity填入待校验的模型或业务 ID。
流程
- 确认待合规验证的 AI 应用模块及其关联的业务场景需求。
- 执行
python fin_guard.py命令,传入实体标识与三律判定模式参数。 - 脚本读取文件资料对 LGD 三律(有籍·有证·有门禁)进行内部自评计算。
- 生成合规判定报告,明确通过/拒绝状态及具体缺失项。
- 系统根据结果自动执行允许通行或阻断数据流的动作。
证据与安全声明
- 证据:TBD(暂无评测/徽章链接;产生后在此更新实际链接)
- 版本:1.0.1
- 安全:未做独立安全扫描(TBD),结论待补;补全前不作推荐背书。
