{
  "version": 1,
  "date_modified": "2026-09-08",
  "description": "Curated editorial evidence registers, not raw research datasets or product tests. Use canonical HTML record anchors for citations; consult original sources.",
  "count": 2,
  "items": [
    {
      "id": "https://digidai.github.io/research/ai-hiring/",
      "title": "AI hiring procurement evidence",
      "description": "A source-linked register of AI hiring product claims, audit scope and unanswered buyer questions. Compare six vendors without treating documentation as a product test.",
      "record_count": 6,
      "date_published": "2026-09-08",
      "date_modified": "2026-09-08",
      "html_url": "https://digidai.github.io/research/ai-hiring/",
      "markdown_url": "https://digidai.github.io/research/ai-hiring/index.md",
      "json_url": "https://digidai.github.io/research/ai-hiring/data.json",
      "csv_url": "https://digidai.github.io/research/ai-hiring/data.csv",
      "review_worksheet_url": "https://digidai.github.io/research/ai-hiring/review-template.csv"
    },
    {
      "id": "https://digidai.github.io/research/ai-employment/",
      "title": "AI and employment evidence",
      "description": "Compare eight source-linked records on AI, work and employment. Keep exposure estimates, task productivity, observed employment and vendor usage data separate.",
      "record_count": 8,
      "date_published": "2026-09-08",
      "date_modified": "2026-09-08",
      "html_url": "https://digidai.github.io/research/ai-employment/",
      "markdown_url": "https://digidai.github.io/research/ai-employment/index.md",
      "json_url": "https://digidai.github.io/research/ai-employment/data.json",
      "csv_url": "https://digidai.github.io/research/ai-employment/data.csv",
      "review_worksheet_url": "https://digidai.github.io/research/ai-employment/review-template.csv"
    }
  ]
}