AI Standards Bodies
standards-bodiespolicyPath: /knowledge-base/responses/standards-bodies/
E288Entity ID (EID)
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
{
"id": "standards-bodies",
"numericId": null,
"path": "/knowledge-base/responses/standards-bodies/",
"filePath": "knowledge-base/responses/standards-bodies.mdx",
"title": "AI Standards Bodies",
"quality": 69,
"readerImportance": 82.5,
"researchImportance": 24.5,
"tacticalValue": 72,
"contentFormat": "article",
"tractability": null,
"neglectedness": null,
"uncertainty": null,
"causalLevel": null,
"lastUpdated": "2026-03-13",
"dateCreated": "2026-02-15",
"llmSummary": "Comprehensive analysis of AI standards bodies (ISO/IEC, IEEE, NIST, CEN-CENELEC) showing how voluntary technical standards become de facto requirements through regulatory integration, particularly the EU AI Act's harmonized standards creating presumption of conformity. Documents 1,000+ European experts developing standards, 13.5% EU enterprise AI adoption (2024), and specific compliance pathways through ISO/IEC 42001 certification achieved by Microsoft, KPMG, and others.",
"description": "International and national organizations developing AI technical standards that create compliance pathways for regulations, influence procurement practices, and establish shared frameworks for AI risk management and safety across jurisdictions.",
"ratings": {
"novelty": 5.5,
"rigor": 6.5,
"actionability": 7,
"completeness": 7.5
},
"category": "responses",
"subcategory": "institutions",
"clusters": [
"governance",
"ai-safety"
],
"metrics": {
"wordCount": 3508,
"tableCount": 5,
"diagramCount": 1,
"internalLinks": 31,
"externalLinks": 0,
"footnoteCount": 0,
"bulletRatio": 0.06,
"sectionCount": 20,
"hasOverview": true,
"structuralScore": 12
},
"suggestedQuality": 80,
"updateFrequency": 45,
"evergreen": true,
"wordCount": 3508,
"unconvertedLinks": [],
"unconvertedLinkCount": 0,
"convertedLinkCount": 27,
"backlinkCount": 1,
"hallucinationRisk": {
"level": "medium",
"score": 60,
"factors": [
"no-citations",
"few-external-sources"
]
},
"entityType": "policy",
"redundancy": {
"maxSimilarity": 24,
"similarPages": [
{
"id": "nist-ai-rmf",
"title": "NIST AI Risk Management Framework",
"path": "/knowledge-base/responses/nist-ai-rmf/",
"similarity": 24
},
{
"id": "us-aisi",
"title": "US AI Safety Institute",
"path": "/knowledge-base/organizations/us-aisi/",
"similarity": 22
},
{
"id": "china-ai-regulations",
"title": "China AI Regulations",
"path": "/knowledge-base/responses/china-ai-regulations/",
"similarity": 21
},
{
"id": "responsible-scaling-policies",
"title": "Responsible Scaling Policies",
"path": "/knowledge-base/responses/responsible-scaling-policies/",
"similarity": 21
},
{
"id": "voluntary-commitments",
"title": "Voluntary Industry Commitments",
"path": "/knowledge-base/responses/voluntary-commitments/",
"similarity": 21
}
]
},
"coverage": {
"passing": 7,
"total": 13,
"targets": {
"tables": 14,
"diagrams": 1,
"internalLinks": 28,
"externalLinks": 18,
"footnotes": 11,
"references": 11
},
"actuals": {
"tables": 5,
"diagrams": 1,
"internalLinks": 31,
"externalLinks": 0,
"footnotes": 0,
"references": 16,
"quotesWithQuotes": 0,
"quotesTotal": 0,
"accuracyChecked": 0,
"accuracyTotal": 0
},
"items": {
"llmSummary": "green",
"schedule": "green",
"entity": "green",
"editHistory": "red",
"overview": "green",
"tables": "amber",
"diagrams": "green",
"internalLinks": "green",
"externalLinks": "red",
"footnotes": "red",
"references": "green",
"quotes": "red",
"accuracy": "red"
},
"ratingsString": "N:5.5 R:6.5 A:7 C:7.5"
},
"readerRank": 69,
"researchRank": 456,
"recommendedScore": 201.11
}External Links
No external links
Backlinks (1)
| id | title | type | relationship |
|---|---|---|---|
| __index__/knowledge-base/responses | Safety Responses | concept | — |