Improve training-data quality
AIR-19AAD3D220 · version 2 · Data & IP · candidate interpretation
Covered GenAI service providers must improve training-data quality.
Situation & purpose
An AI system or employee activity involves training-data quality. Confirm the actor and source conditions before using this template.
Provide a traceable control for the action: improve training-data quality.
Examples
- Meets the rule
- Covered GenAI service providers performs the required action "improve" for training-data quality within these source conditions: Covered training activities, and retains evidence.
- Does not meet the rule
- Covered GenAI service providers omits the required action "improve" for training-data quality while those source conditions apply.
- Outside scope
- The actor, activity, jurisdiction, or applicability conditions in this source variant do not match.
Evidence & enforcement
- Dated record of the action
- Responsible actor and approval, where required
- Applicable source edition and scope
Human or authorized system adapter required. Machine-executable: no. Convert to a reviewed organization contract and validate the adapter before deployment.
Limits
A rule card is an interpretation aid, not an applicability determination.
Equivalent intent does not make different source obligations interchangeable.
Owner review
Record your interpretation decision. This does not adopt a policy for an organization.
JSON rule card
{
"id": "AIR-19AAD3D220",
"version": 2,
"title": "Improve training-data quality",
"text": "Covered GenAI service providers must improve training-data quality.",
"topic": "Data & IP",
"intent": "improve training data quality",
"status": "candidate",
"semanticStatus": "human-validation-required",
"variants": [
{
"sourceId": "cn-genai-interim",
"control": "Article 7(4)",
"sourceVersion": "Order 15; effective 2023-08-15",
"url": "https://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm",
"actor": "Covered GenAI service providers",
"modality": "must",
"action": "improve",
"object": "training-data quality",
"condition": "Covered training activities",
"exception": "Article 2 scope and cross-referenced Chinese laws apply",
"timing": null,
"authority": "binding-within-scope",
"jurisdiction": "China",
"checkedAt": "2026-10-03",
"status": "interpretation-needs-review",
"examples": {
"meetsRule": "Covered GenAI service providers performs the required action \"improve\" for training-data quality within these source conditions: Covered training activities, and retains evidence.",
"doesNotMeetRule": "Covered GenAI service providers omits the required action \"improve\" for training-data quality while those source conditions apply.",
"outOfScope": "The actor, activity, jurisdiction, or applicability conditions in this source variant do not match."
}
}
],
"situation": "An AI system or employee activity involves training-data quality. Confirm the actor and source conditions before using this template.",
"purpose": "Provide a traceable control for the action: improve training-data quality.",
"examples": {
"meetsRule": "Covered GenAI service providers performs the required action \"improve\" for training-data quality within these source conditions: Covered training activities, and retains evidence.",
"doesNotMeetRule": "Covered GenAI service providers omits the required action \"improve\" for training-data quality while those source conditions apply.",
"outOfScope": "The actor, activity, jurisdiction, or applicability conditions in this source variant do not match."
},
"evidence": [
"Dated record of the action",
"Responsible actor and approval, where required",
"Applicable source edition and scope"
],
"enforcement": {
"mode": "policy-template",
"adapter": "Human or authorized system adapter required",
"machineExecutable": false
},
"limitations": [
"A rule card is an interpretation aid, not an applicability determination.",
"Equivalent intent does not make different source obligations interchangeable."
],
"createdAt": "2026-10-03",
"updatedAt": "2026-10-03"
}