{
  "node_id": "uk-ai-safety-institute-framework-2023",
  "title": "AI Safety Institute: approach to evaluations",
  "domain": "AI Governance & Law",
  "version": "1.0.0",
  "last_updated": "2023-11-02",
  "bluf": "The UK AI Safety Institute (AISI) framework outlines its approach to evaluating advanced AI models for national security and societal risks, focusing on five capabilities: misuse, societal impacts, autonomous systems, safeguards, and model analysis. This framework applies to developers of frontier AI models engaging with the AISI for pre-deployment safety testing, as detailed in the 'Our approach to evaluations' section.",
  "paywall": {
    "status": "LOCKED",
    "unlock_cost_usd": "0.01",
    "skyfire_id": "41779894-ece2-4163-9761-b3b1b76e19b0"
  },
  "crosswalks": {
    "_available_keys": [
      "nist_framework",
      "iso_standard",
      "industry_mapping",
      "ai_overlay_2026"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "nist-ai-rmf-1-0",
    "iso-42001-risk-assess",
    "oecd-ai-principles",
    "nist-ai-adversarial-machine-learning",
    "eu-ai-act-high-risk"
  ],
  "primary_citations_count": 7
}