Societal Response & Adaptation Model

{
  "id": "societal-response",
  "numericId": null,
  "path": "/knowledge-base/models/societal-response/",
  "filePath": "knowledge-base/models/societal-response.mdx",
  "title": "Societal Response & Adaptation Model",
  "quality": 57,
  "readerImportance": 78,
  "researchImportance": 65,
  "tacticalValue": 68,
  "contentFormat": "article",
  "tractability": null,
  "neglectedness": null,
  "uncertainty": null,
  "causalLevel": null,
  "lastUpdated": "2026-03-13",
  "dateCreated": "2026-02-15",
  "llmSummary": "Quantitative model finding current societal response capacity at 20-25% adequacy with 3-5 year institutional lag, requiring \\$550M-1.1B/year investment (5-10x current) across regulatory capacity (20%→60%), legislative speed (24→6 months), safety pipeline (500→2,000/year), and international coordination (20%→50%). Only 35% probability institutions respond in time without major incident; 60% chance warning shot occurs first.",
  "description": "This model quantifies societal response capacity to AI developments, finding that public concern (50%), institutional capacity (20-25%), and international coordination (~30% effective) are currently inadequate. With 97% of Americans supporting AI safety regulation but legislative speed lagging at 24+ months, the model identifies a critical 3-5 year institutional gap that requires \\$550M-1.1B/year investment to close.",
  "ratings": {
    "focus": 8,
    "novelty": 4.5,
    "rigor": 5,
    "completeness": 7,
    "concreteness": 6.5,
    "actionability": 5.5
  },
  "category": "models",
  "subcategory": "societal-models",
  "clusters": [
    "ai-safety",
    "governance"
  ],
  "metrics": {
    "wordCount": 1928,
    "tableCount": 8,
    "diagramCount": 2,
    "internalLinks": 1,
    "externalLinks": 17,
    "footnoteCount": 0,
    "bulletRatio": 0.04,
    "sectionCount": 17,
    "hasOverview": true,
    "structuralScore": 14
  },
  "suggestedQuality": 93,
  "updateFrequency": 90,
  "evergreen": true,
  "wordCount": 1928,
  "unconvertedLinks": [
    {
      "text": "97% of Americans support AI safety regulation",
      "url": "https://news.gallup.com/poll/694685/americans-prioritize-safety-data-security.aspx",
      "resourceId": "f8ef272a6749158b",
      "resourceTitle": "Gallup AI Safety Poll"
    },
    {
      "text": "Gallup/SCSP 2025",
      "url": "https://news.gallup.com/poll/694685/americans-prioritize-safety-data-security.aspx",
      "resourceId": "f8ef272a6749158b",
      "resourceTitle": "Gallup AI Safety Poll"
    },
    {
      "text": "UN Scientific Panel 2025",
      "url": "https://press.un.org/en/2025/sgsm22776.doc.htm",
      "resourceId": "de840ac51dee6c7c",
      "resourceTitle": "Scientific Panel"
    },
    {
      "text": "Pew Research 2025",
      "url": "https://www.pewresearch.org/internet/2025/04/03/views-of-risks-opportunities-and-regulation-of-ai/",
      "resourceId": "5f14da1ccd4f1678",
      "resourceTitle": "Pew Research AI Survey 2025"
    },
    {
      "text": "Stanford AI Index 2025",
      "url": "https://hai.stanford.edu/ai-index/2025-ai-index-report/public-opinion",
      "resourceId": "d2b4293d703f4451",
      "resourceTitle": "Stanford HAI AI Index"
    },
    {
      "text": "UN General Assembly established two new mechanisms",
      "url": "https://press.un.org/en/2025/sgsm22776.doc.htm",
      "resourceId": "de840ac51dee6c7c",
      "resourceTitle": "Scientific Panel"
    },
    {
      "text": "International Affairs",
      "url": "https://academic.oup.com/ia/article/100/3/1275/7641064",
      "resourceId": "3277a685c8b28fe0",
      "resourceTitle": "Oxford International Affairs"
    }
  ],
  "unconvertedLinkCount": 7,
  "convertedLinkCount": 0,
  "backlinkCount": 0,
  "hallucinationRisk": {
    "level": "medium",
    "score": 55,
    "factors": [
      "no-citations"
    ]
  },
  "entityType": "analysis",
  "redundancy": {
    "maxSimilarity": 18,
    "similarPages": [
      {
        "id": "feedback-loops",
        "title": "Feedback Loop & Cascade Model",
        "path": "/knowledge-base/models/feedback-loops/",
        "similarity": 18
      },
      {
        "id": "institutional-adaptation-speed",
        "title": "Institutional Adaptation Speed Model",
        "path": "/knowledge-base/models/institutional-adaptation-speed/",
        "similarity": 16
      },
      {
        "id": "capability-alignment-race",
        "title": "Capability-Alignment Race Model",
        "path": "/knowledge-base/models/capability-alignment-race/",
        "similarity": 15
      },
      {
        "id": "critical-uncertainties",
        "title": "AI Risk Critical Uncertainties Model",
        "path": "/knowledge-base/models/critical-uncertainties/",
        "similarity": 15
      },
      {
        "id": "epistemic-collapse-threshold",
        "title": "Epistemic Collapse Threshold Model",
        "path": "/knowledge-base/models/epistemic-collapse-threshold/",
        "similarity": 15
      }
    ]
  },
  "coverage": {
    "passing": 7,
    "total": 13,
    "targets": {
      "tables": 8,
      "diagrams": 1,
      "internalLinks": 15,
      "externalLinks": 10,
      "footnotes": 6,
      "references": 6
    },
    "actuals": {
      "tables": 8,
      "diagrams": 2,
      "internalLinks": 1,
      "externalLinks": 17,
      "footnotes": 0,
      "references": 5,
      "quotesWithQuotes": 0,
      "quotesTotal": 0,
      "accuracyChecked": 0,
      "accuracyTotal": 0
    },
    "items": {
      "llmSummary": "green",
      "schedule": "green",
      "entity": "green",
      "editHistory": "red",
      "overview": "green",
      "tables": "green",
      "diagrams": "green",
      "internalLinks": "amber",
      "externalLinks": "green",
      "footnotes": "red",
      "references": "amber",
      "quotes": "red",
      "accuracy": "red"
    },
    "ratingsString": "N:4.5 R:5 A:5.5 C:7"
  },
  "readerRank": 103,
  "researchRank": 189,
  "recommendedScore": 174.64
}

No external links

No backlinks