{
  "node_id": "iso-42001-performance",
  "title": "AIMS Performance Eval (ISO 42001)",
  "domain": "AI Governance & Law",
  "version": "1.1.0",
  "last_updated": "2026-04-10",
  "bluf": "ISO/IEC 42001:2023 Clause 9 (Performance Evaluation) requires organizations operating an AI Management System (AIMS) to establish monitoring and measurement programs for AI systems and the AIMS itself, conduct internal audits of AIMS conformity, and hold management reviews that use performance data to make informed governance decisions. Clause 9.1 requires determining what needs to be monitored and measured, the methods to be used, when evaluations occur, and when results are analyzed and communicated. Clause 9.2 mandates an internal audit program covering all AIMS elements at risk-determined intervals. Clause 9.3 requires management reviews that consider: audit results, AI system performance data, incident trends, regulatory changes, stakeholder feedback, and risk treatment effectiveness. Without systematic performance evaluation, AIMS nonconformities may go undetected, AI systems may drift from aligned behavior, and regulators may determine the AIMS is nominal rather than effective.",
  "paywall": {
    "status": "LOCKED",
    "unlock_cost_usd": "0.01",
    "skyfire_id": "41779894-ece2-4163-9761-b3b1b76e19b0"
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  "crosswalks": {
    "_available_keys": [
      "nist_framework",
      "iso_standard",
      "ai_overlay_2026",
      "industry_mapping"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "iso-19011-audit-guidelines",
    "iso-42001-risk-assess",
    "iso-42001-improvement",
    "nist-ai-rmf-measure",
    "iso-31000-risk-mgt"
  ],
  "primary_citations_count": 6
}