{
  "id": 3386,
  "url": "https://arxiv.org/abs/2606.00729v2",
  "title": "AI Sovereignty as National Learning Capacity: A Human-Centered Learning Mechanics Viewpoint on France, the United States, and China",
  "summary": "Artificial intelligence in France is often discussed through separate dimensions such as investment, compute, regulation, employment, sovereignty, and education. This viewpoint paper proposes a unified interpretation: France can be analyzed as a national AI learning system. Building on Human-Centered Learning Mechanics (HCLM), we use HCLM not as a validated econometric model, but as a conceptual and diagnostic lens for interpreting national AI development as a balance between information injecti",
  "authors": "Kim Phuc Tran",
  "category": "research",
  "topics": "regulation,jobs-economy,healthcare,children-education",
  "orgs": null,
  "regions": "us,china",
  "published_at": "2026-05-30T13:49:42.000Z",
  "fetched_at": "2026-07-14T16:30:14.368Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3386",
  "original_url": "https://arxiv.org/abs/2606.00729v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}