{
  "notice": "Illustrative mapping from the AI Governance Engineer Body of Knowledge v0.5.0 (not a claim of conformity)",
  "version": "0.5.0",
  "license": "CC BY 4.0",
  "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
  "schemaVersion": 1,
  "schema": "https://aigovernanceengineer.com/api/v1/schemas/control.json",
  "self": "https://aigovernanceengineer.com/api/v1/controls/aige-ctl-agent-033.json",
  "source": "https://aigovernanceengineer.com/controls/agent-runtime#aige-ctl-agent-033",
  "citation": {
    "title": "AI Governance Engineering: The Thesis & Body of Knowledge",
    "authors": [
      "Jorge García Aibar"
    ],
    "parentDoi": "https://doi.org/10.5281/zenodo.22956197",
    "conceptDoi": "https://doi.org/10.5281/zenodo.22857084"
  },
  "control": {
    "id": "AIGE-CTL-AGENT-033",
    "profile": "agent-runtime",
    "url": "https://aigovernanceengineer.com/controls/agent-runtime#aige-ctl-agent-033",
    "json": "https://aigovernanceengineer.com/api/v1/controls/aige-ctl-agent-033.json",
    "title": "Approval requests a person can read",
    "version": "0.2",
    "status": "draft",
    "reviewerStatus": "open",
    "depth": "derived",
    "objective": "An approval request shows the raw call first, in short form (the tool, the target and the key parameters as the gateway will execute them, never a log dump), then the agent's reason, the risk and what happens on rejection, and asks for the input the decision needs: approve or reject, an edited plan, or a written justification for a high-risk action.",
    "failureModes": [
      "ASI09: Fluent, confident or persuasive agent output leads people to approve harmful actions, disclose information or skip the check they were meant to make.",
      "An approval request shows a long log or a raw data dump, or only the agent's summary, so the approver cannot see what will run.",
      "A high-risk action is approved with no written justification on record."
    ],
    "scope": "Every agent that calls tools, in production or in an evaluation harness.",
    "enforcementPoints": [
      "runtime"
    ],
    "verification": [],
    "evidence": [
      {
        "artefact": "Approval request template; written justifications for high-risk approvals",
        "schemaId": null,
        "schema": null,
        "layer": 4
      }
    ],
    "failureResponse": {
      "effect": "alert",
      "text": "To be specified."
    },
    "layer": 4,
    "secondaryLayers": [],
    "patterns": [
      {
        "slug": "human-in-the-loop-gate",
        "title": "Human-in-the-loop Gate",
        "url": "https://aigovernanceengineer.com/patterns/human-in-the-loop-gate"
      }
    ],
    "seeds": [
      {
        "id": "approval-request",
        "title": "Approval requests a person can read",
        "url": "https://aigovernanceengineer.com/bok/governing-agents#what-a-good-approval-looks-like"
      }
    ],
    "derivedFrom": [],
    "mappings": {
      "obligations": [
        {
          "id": "AIGE-OBL-EUAIA-ART14",
          "name": "EU AI Act Art. 14 human oversight",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-euaia-art14"
        },
        {
          "id": "AIGE-OBL-EUAIA-ART13",
          "name": "EU AI Act Art. 13 transparency and information to deployers",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-euaia-art13"
        },
        {
          "id": "AIGE-OBL-EUAIA-ART50",
          "name": "EU AI Act Art. 50 transparency for certain AI systems",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-euaia-art50"
        },
        {
          "id": "AIGE-OBL-OWASP-AGENTIC",
          "name": "Top 10 for Agentic Applications 2026",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-owasp-agentic"
        },
        {
          "id": "AIGE-OBL-SG-AGENTIC-CHECKPOINTS",
          "name": "Singapore IMDA Model AI Governance Framework for Agentic AI: human checkpoints for significant actions (voluntary)",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-sg-agentic-checkpoints"
        }
      ],
      "iso42001": [
        {
          "id": "A.8.2",
          "title": "System documentation and information for users"
        },
        {
          "id": "A.9.2",
          "title": "Processes for responsible use of AI systems"
        }
      ],
      "nistAiRmf": [],
      "owasp": [
        {
          "id": "asi09",
          "externalId": "ASI09",
          "name": "Human-Agent Trust Exploitation",
          "url": "https://aigovernanceengineer.com/resources/threats#threat-asi09"
        }
      ],
      "atlas": [],
      "aiuc1": [],
      "csaAicm": [],
      "other": [
        {
          "framework": "IMDA MGF for Agentic AI v1.5",
          "ref": "2.2.2 Design for meaningful human oversight, p.29",
          "note": "Direct fit: Requests short, clear and with the risk stated, not long logs or raw data; the form of input fits the action, with a written justification for high-risk actions"
        }
      ]
    },
    "references": [
      {
        "n": 14,
        "title": "Governing AI agents",
        "text": "Governing AI agents (AI Governance Engineering Body of Knowledge v0.5.0, chapter 23, section \"What a good approval looks like\"). AI Governance Engineer (Jorge García Aibar). 2026-09.",
        "url": "https://aigovernanceengineer.com/bok/governing-agents#what-a-good-approval-looks-like",
        "verified": "primary"
      },
      {
        "n": 2,
        "title": "OWASP Top 10 for Agentic Applications for 2026",
        "text": "OWASP Top 10 for Agentic Applications for 2026 (ASI01 Agent Goal Hijack to ASI10 Rogue Agents). OWASP GenAI Security Project. 2025-12-09.",
        "url": "https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/",
        "verified": "primary"
      },
      {
        "n": 3,
        "title": "ISO/IEC 42001:2023, AI management systems, Annex A",
        "text": "ISO/IEC 42001:2023, AI management systems, Annex A (reference control objectives and controls A.2 to A.10, cited by id and short title). ISO/IEC. 2023.",
        "url": "https://www.iso.org/standard/81230.html",
        "verified": "secondary"
      },
      {
        "n": 4,
        "title": "Model AI Governance Framework for Agentic AI, v1.5",
        "text": "Model AI Governance Framework for Agentic AI, v1.5 (published 2026-05-20, updated 2026-06-05; four dimensions: assess and bound the risks upfront, make humans meaningfully accountable, implement technical controls and processes, enable end-user responsibility). IMDA. 2026-06-05.",
        "url": "https://www.imda.gov.sg/-/media/imda/files/about/emerging-tech-and-research/artificial-intelligence/mgf-for-agentic-ai.pdf",
        "verified": "primary"
      }
    ],
    "implementationNotes": [],
    "openQuestions": [
      "Verification procedure and evidence schema to be specified; requires technical review."
    ],
    "observation": null,
    "observationSchema": "https://aigovernanceengineer.com/schemas/control-observation.v1.json",
    "examples": []
  }
}