{
  "datasetId": "ai-product-hallucination-governance-card-v1",
  "schemaVersion": "1.0.0",
  "createdAt": "2026-07-21",
  "language": "zh-CN",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "licenseScope": "仅覆盖空白字段结构与 DragonAI 第一方说明，不覆盖真实用户输入、模型输出、知识库、事故、评测结果或第三方材料。",
  "purposeZh": "记录 AI 产品幻觉风险边界、逐声明证据、评测、控制、运行事件、复盘与发布决定。",
  "disclosureZh": "DragonAI 运营 AI 产品经理课程。本文件是第一方空白治理框架，不是模型安全认证、法律意见、医疗或金融判断，也不构成无幻觉保证；不含真实客户、事故或跑分，采用前须由适用责任人复核。",
  "claimVerdictValues": [
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  "riskTypes": [
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    "scope_overreach",
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  "releaseDecisionValues": [
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  "evaluationStatusValues": [
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  "dataCompletenessValues": [
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  "eventStatusValues": [
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  "rollbackReadinessStatusValues": [
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        "releaseUnitHash",
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        "freshnessPolicy",
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        "frozenAt"
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      "verificationQuestionsZh": [
        "错误是否按任务后果而非单一平均率分级？",
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      ]
    },
    {
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        "adjudicatedAt"
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      "verificationQuestionsZh": [
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        "冲突、过期和无法判定项是否保留？"
      ]
    },
    {
      "sectionId": "evaluation-plan",
      "nameZh": "评测集、切片与判定",
      "requiredFields": [
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        "metricDefinitions",
        "zeroDenominatorTreatment",
        "frozenAt"
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      "verificationQuestionsZh": [
        "正常完成、合理克制和过度拒答是否同时测量？",
        "自动裁判是否校准，高风险与分歧项的人工复核是否预先定义？"
      ]
    },
    {
      "sectionId": "control-matrix",
      "nameZh": "失败原因与控制矩阵",
      "requiredFields": [
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        "clarificationRules",
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      "verificationQuestionsZh": [
        "每项控制是否绑定具体失败原因、版本和测试证据？",
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    },
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        "dataCompleteness",
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        "reviewedAt"
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      ]
    },
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        "releaseUnitHash",
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        "privacyTreatment",
        "retentionUntil",
        "owner",
        "status"
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      "verificationQuestionsZh": [
        "事件能否通过可读摘要、受控输出引用和摘要值追溯到发布单元与证据链？",
        "敏感数据是否按访问政策、最小化和期限处理？"
      ]
    },
    {
      "sectionId": "incident-review",
      "nameZh": "事件复盘与纠正验证",
      "requiredFields": [
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        "releaseUnitHashes",
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      "verificationQuestionsZh": [
        "修复是否转入回归集并以明确状态完成重测？",
        "根因是否通过受控枚举区分模型、检索、来源、工具、提示、策略、界面和数据管线？"
      ]
    },
    {
      "sectionId": "release-decision",
      "nameZh": "发布、回滚与重测决定",
      "requiredFields": [
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        "monitoringPlanId",
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        "decisionReason",
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      ],
      "verificationQuestionsZh": [
        "门槛、未知值处理和决定规则是否在观察结果前冻结并绑定评测与控制证据？",
        "监测、人工容量、回滚单元和演练证据是否证明受限发布可执行？"
      ]
    }
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  "sources": [
    {
      "evidenceId": "nist-ai-rmf-genai-profile-20260721",
      "url": "https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence"
    },
    {
      "evidenceId": "openai-why-language-models-hallucinate-20260721",
      "url": "https://openai.com/zh-Hans-CN/index/why-language-models-hallucinate/"
    },
    {
      "evidenceId": "google-cloud-grounding-overview-20260721",
      "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/grounding/overview"
    },
    {
      "evidenceId": "google-cloud-genai-evaluation-metrics-20260721",
      "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/determine-eval"
    },
    {
      "evidenceId": "microsoft-hax-human-ai-guidelines-20260721",
      "url": "https://www.microsoft.com/en-us/haxtoolkit/ai-guidelines/"
    }
  ],
  "title": "AI 产品幻觉治理证据卡 v1",
  "description": "把风险边界、逐声明证据、评测切片、控制矩阵、运行事件、事故复盘和发布门禁连接起来。",
  "url": "https://course.dragonai.tech/datasets/ai-product-hallucination-governance-card-v1.json",
  "creator": "烛龙智元内容研究组"
}
