{
  "node_id": "saudi-ndmo-ai-ethics-principles-2023",
  "title": "Saudi Arabia SDAIA AI Ethics Principles - Seven Principles: Fairness; Privacy and Security; Humanity; Social and Environmental Benefits; Reliability and Safety; Transparency and Explainability; Accountability and Responsibility",
  "domain": "AI Governance & Law",
  "version": "2.0.0",
  "last_updated": "2026-06-29",
  "bluf": "The Saudi Data and Artificial Intelligence Authority (SDAIA) issues the AI Ethics Principles, a principles-based framework setting out seven core ethical principles for the development, deployment, and use of AI systems by stakeholders in Saudi Arabia: Fairness; Privacy and Security; Humanity; Social and Environmental Benefits; Reliability and Safety; Transparency and Explainability; and Accountability and Responsibility. The framework applies to all AI stakeholders across the full lifecycle of an AI project, from design and planning through deployment and monitoring, and is accompanied by controls and (in the 2.0 iteration) a tiered AI risk categorisation system with self-assessment tools. The Principles are issued by SDAIA; the National Data Management Office (NDMO) is a sub-office within SDAIA and is not the issuing authority for these Principles.",
  "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",
      "industry_mapping",
      "ai_overlay_2026"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "oecd-ai-principles",
    "g20-ai-principles-2019",
    "unesco-ethics-ai",
    "nist-ai-rmf-1-0",
    "iso-42001-risk-assess"
  ],
  "primary_citations_count": 7
}