Frozen Snapshot (v12, 2026-04-12).
A newer version with corrected surveillance precision is available:
Dashboard v13
AI & Labor: Global Conversation Map
Cross-referencing policy statements and academic research on artificial intelligence and the future of work
Total Documents
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Statements
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Policy & position documents
Papers
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Academic literature
Countries
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Themes
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Distinct topic categories
Date Range
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Key Findings
Top Themes
Source Breakdown
Region × Theme Heatmap
Explore the intersection of geographic regions and thematic categories. Toggle between raw counts and normalized views to reveal structural patterns.
Normalize
Source
Region × Theme Heatmap
Row Marginals (by Region)
Column Marginals (by Theme)
Geographic Distribution
Countries by Volume
Region Totals
Statements vs Papers by Region
Source Language Distribution
Temporal Trends
Theme Emergence Over Time
Statements vs Papers Over Time
Cumulative Growth
Voice Gap Analysis
Who is shaping the conversation on AI and labor? This tab reveals imbalances between those authoring policy and those most affected.
Speaker Types
Binding Nature
CST Citation Tracker
CST Engagement by Region
Authored vs Affected by Region
Methodology & Limitations
Classification Pipeline: All 17 labor themes are classified using English-language keyword regex patterns. Non-English documents are systematically disadvantaged, contributing to higher cross-cutting rates in regions with lower English proficiency.
Text Extraction: Document extracts are capped at 10,000 characters (EXTRACT_CAP), creating position-dependent classification bias for longer documents.
Region Assignment: Items without geographic metadata are assigned to "Global/International" by default via normalize_region(), inflating that category.
Surveillance Exclusions: Three items (STMT-0496, STMT-1551, STMT-2040) are excluded from surveillance classification by hard-coded rules to correct known false positives.
Religious Ethics Tracker: Originally developed to measure Catholic Social Teaching (CST) citations. Expanded in v12 to include Islamic, Protestant/Ecumenical, Buddhist, Jewish, and Gandhian/Indian ethical economics sources. Detection rates reflect both corpus composition and keyword specificity; absence of matches does not indicate absence of discourse in a tradition.