{
  "node_id": "iso-42001-improvement",
  "title": "AIMS Improvement (ISO 42001)",
  "domain": "AI Governance & Law",
  "version": "1.1.0",
  "last_updated": "2026-04-10",
  "bluf": "ISO/IEC 42001:2023 Clause 10 (Improvement) mandates that organizations operating an AI Management System (AIMS) establish systematic processes for identifying, addressing, and preventing nonconformities - including AI safety incidents, bias events, harmful outputs, and performance degradation - and for driving continual improvement of the AIMS over time. Clause 10 requires organizations to react to nonconformities with documented corrective actions, perform root cause analysis to prevent recurrence, and evaluate the effectiveness of actions taken. Continual improvement requires using outputs from internal audits, management reviews, monitoring data, and stakeholder feedback to identify opportunities to enhance AI system performance, safety, and alignment. This clause is activated by incidents identified through the monitoring requirements of Clause 9 and is essential for demonstrating to regulators, customers, and auditors that the organization's AI systems become safer and more aligned over time, not static.",
  "paywall": {
    "status": "LOCKED",
    "unlock_cost_usd": "0.01",
    "skyfire_id": "41779894-ece2-4163-9761-b3b1b76e19b0"
  },
  "crosswalks": {
    "_available_keys": [
      "nist_framework",
      "iso_standard",
      "ai_overlay_2026",
      "industry_mapping"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "iso-9001-quality-mgt",
    "iso-31000-risk-mgt",
    "iso-37301-compliance-mgt",
    "iso-42001-performance",
    "iso-42001-risk-assess",
    "nist-ai-rmf-1-0"
  ],
  "primary_citations_count": 6
}