AI-Augmented Forecasting

{
  "id": "ai-forecasting",
  "wikiId": "E9",
  "path": "/knowledge-base/responses/ai-forecasting/",
  "filePath": "knowledge-base/responses/ai-forecasting.mdx",
  "title": "AI-Augmented Forecasting",
  "quality": 54,
  "readerImportance": 65.5,
  "researchImportance": 37,
  "tacticalValue": null,
  "contentFormat": "article",
  "causalLevel": null,
  "lastUpdated": "2025-12-27",
  "dateCreated": "2026-02-15",
  "summary": "AI-augmented forecasting combines AI computational strengths with human judgment, achieving 5-15% Brier score improvements and 50-200x cost reductions compared to human-only forecasting. However, AI systems exhibit dangerous overconfidence on tail events below 5% probability, limiting effectiveness for existential risk assessment where rare catastrophic outcomes are most relevant.",
  "description": "Combining AI capabilities with human judgment for better predictions about future events, achieving measurable accuracy improvements while addressing the limitations of both human and AI-only forecasting approaches.",
  "ratings": {
    "novelty": 4.2,
    "rigor": 5.8,
    "completeness": 6.5,
    "actionability": 5.5
  },
  "category": "responses",
  "subcategory": "epistemic-approaches",
  "clusters": [
    "ai-safety",
    "epistemics"
  ],
  "metrics": {
    "wordCount": 2481,
    "tableCount": 2,
    "diagramCount": 1,
    "internalLinks": 18,
    "externalLinks": 0,
    "footnoteCount": 0,
    "bulletRatio": 0.04,
    "sectionCount": 23,
    "hasOverview": false,
    "structuralScore": 11
  },
  "suggestedQuality": 73,
  "updateFrequency": 45,
  "evergreen": true,
  "wordCount": 2481,
  "unconvertedLinks": [],
  "unconvertedLinkCount": 0,
  "convertedLinkCount": 10,
  "backlinkCount": 5,
  "hallucinationRisk": {
    "level": "medium",
    "score": 50,
    "factors": [
      "no-citations",
      "few-external-sources",
      "conceptual-content"
    ]
  },
  "entityType": "approach",
  "redundancy": {
    "maxSimilarity": 20,
    "similarPages": [
      {
        "id": "scalable-oversight",
        "title": "Scalable Oversight",
        "path": "/knowledge-base/responses/scalable-oversight/",
        "similarity": 20
      },
      {
        "id": "thresholds",
        "title": "Compute Thresholds",
        "path": "/knowledge-base/responses/thresholds/",
        "similarity": 20
      },
      {
        "id": "reasoning",
        "title": "Reasoning and Planning",
        "path": "/knowledge-base/capabilities/reasoning/",
        "similarity": 19
      },
      {
        "id": "scientific-research",
        "title": "Scientific Research Capabilities",
        "path": "/knowledge-base/capabilities/scientific-research/",
        "similarity": 19
      },
      {
        "id": "self-improvement",
        "title": "Self-Improvement and Recursive Enhancement",
        "path": "/knowledge-base/capabilities/self-improvement/",
        "similarity": 19
      }
    ]
  },
  "coverage": {
    "passing": 5,
    "total": 13,
    "targets": {
      "tables": 10,
      "diagrams": 1,
      "internalLinks": 20,
      "externalLinks": 12,
      "footnotes": 7,
      "references": 7
    },
    "actuals": {
      "tables": 2,
      "diagrams": 1,
      "internalLinks": 18,
      "externalLinks": 0,
      "footnotes": 0,
      "references": 10,
      "quotesWithQuotes": 0,
      "quotesTotal": 0,
      "accuracyChecked": 0,
      "accuracyTotal": 0
    },
    "items": {
      "summary": "green",
      "schedule": "green",
      "entity": "green",
      "editHistory": "red",
      "overview": "red",
      "tables": "amber",
      "diagrams": "green",
      "internalLinks": "amber",
      "externalLinks": "red",
      "footnotes": "red",
      "references": "green",
      "quotes": "red",
      "accuracy": "red"
    },
    "ratingsString": "N:4.2 R:5.8 A:5.5 C:6.5"
  },
  "readerRank": 191,
  "researchRank": 360,
  "recommendedScore": 144.29
}

{
  "eaForum": "https://forum.effectivealtruism.org/topics/ai-forecasting"
}