ARCHETYPAL

Determine risk-management effort based on risk tolerance

AIR-1394624FB2 · version 2 · Governance · candidate interpretation

AI governance owners should determine risk-management effort based on risk tolerance.

Situation & purpose

An AI system or employee activity involves risk-management effort based on risk tolerance. Confirm the actor and source conditions before using this template.

Provide a traceable control for the action: determine risk-management effort based on risk tolerance.

Examples

Meets the rule
AI governance owners follows the recommendation to "determine" for risk-management effort based on risk tolerance within these conditions: AI lifecycle and deployment context; voluntary framework outcome.
Does not meet the rule
AI governance owners omits the recommended action "determine" for risk-management effort based on risk tolerance. This is a recommendation gap, not by itself a statutory violation.
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.

Owner sign-in

JSON rule card
{
  "id": "AIR-1394624FB2",
  "version": 2,
  "title": "Determine risk-management effort based on risk tolerance",
  "text": "AI governance owners should determine risk-management effort based on risk tolerance.",
  "topic": "Governance",
  "intent": "determine risk management effort based on risk tolerance",
  "status": "candidate",
  "semanticStatus": "human-validation-required",
  "variants": [
    {
      "sourceId": "nist-ai-rmf-1",
      "control": "Govern 1.3",
      "sourceVersion": "AI RMF 1.0 (2023)",
      "url": "https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf",
      "actor": "AI governance owners",
      "modality": "should",
      "action": "determine",
      "object": "risk-management effort based on risk tolerance",
      "condition": "AI lifecycle and deployment context; voluntary framework outcome",
      "exception": null,
      "timing": null,
      "authority": "voluntary",
      "jurisdiction": "United States",
      "checkedAt": "2026-10-03",
      "status": "interpretation-needs-review",
      "examples": {
        "meetsRule": "AI governance owners follows the recommendation to \"determine\" for risk-management effort based on risk tolerance within these conditions: AI lifecycle and deployment context; voluntary framework outcome.",
        "doesNotMeetRule": "AI governance owners omits the recommended action \"determine\" for risk-management effort based on risk tolerance. This is a recommendation gap, not by itself a statutory violation.",
        "outOfScope": "The actor, activity, jurisdiction, or applicability conditions in this source variant do not match."
      }
    }
  ],
  "situation": "An AI system or employee activity involves risk-management effort based on risk tolerance. Confirm the actor and source conditions before using this template.",
  "purpose": "Provide a traceable control for the action: determine risk-management effort based on risk tolerance.",
  "examples": {
    "meetsRule": "AI governance owners follows the recommendation to \"determine\" for risk-management effort based on risk tolerance within these conditions: AI lifecycle and deployment context; voluntary framework outcome.",
    "doesNotMeetRule": "AI governance owners omits the recommended action \"determine\" for risk-management effort based on risk tolerance. This is a recommendation gap, not by itself a statutory violation.",
    "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"
}
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