{
  "node_id": "us-gao-ai-accountability-framework-2021",
  "title": "US GAO Artificial Intelligence Accountability Framework for Federal Agencies and Other Entities (GAO-21-519SP, June 2021)",
  "domain": "AI Governance & Law",
  "version": "1.0.0",
  "last_updated": "2026-06-13",
  "bluf": "The Government Accountability Office published the AI Accountability Framework (GAO-21-519SP) in June 2021 to help federal agencies and other entities ensure accountability and responsible AI use. The framework is organised around four complementary principles - Governance, Data, Performance, and Monitoring - and identifies eleven Key Practices supported by 33 Key Questions and 50+ types of supporting evidence. Principle 1 Governance covers structures and processes to manage, operate, and oversee implementation across the AI lifecycle. Principle 2 Data addresses data quality, reliability, and representativeness in both model development and operational data. Principle 3 Performance covers verification, validation, and ongoing assessment that the system meets its intended objectives. Principle 4 Monitoring covers continuous oversight to ensure performance over time and to detect drift, bias, and unintended consequences. The framework targets four audiences: agency officials and policymakers, AI developers, third-party assessors, and oversight bodies including inspectors general. GAO uses it for federal program audits and it has become the de facto US public-sector AI audit standard pending formal codification through OMB memoranda (M-24-10, succeeded by M-25-21).",
  "paywall": {
    "status": "LOCKED",
    "unlock_cost_usd": "0.01",
    "skyfire_id": "41779894-ece2-4163-9761-b3b1b76e19b0"
  },
  "crosswalks": {
    "_available_keys": [
      "nist_framework",
      "industry_mapping",
      "iso_standard",
      "us_state_overlay"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "nist-ai-rmf-1-0",
    "us-eo-13960-promoting-trustworthy-ai-federal-government-2020",
    "us-omb-m-24-10-federal-ai-governance-2024"
  ],
  "primary_citations_count": 7
}