{
  "node_id": "iso-iec-24027-bias-fairness",
  "title": "ISO/IEC 24027: Bias and Fairness in AI",
  "domain": "AI Governance & Law",
  "version": "1.1.0",
  "last_updated": "2026-04-09",
  "bluf": "The mathematical and technical playbook for mitigating human cognitive bias, data bias, and engineering bias through quantitative fairness metrics like demographic parity and equalized odds.",
  "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": [
    "oecd-ai-principles",
    "iso-42001-transparency",
    "nist-ai-rmf-govern",
    "iso-31000-risk-mgt-std"
  ],
  "primary_citations_count": 6
}