{
  "id": 14516,
  "url": "https://arxiv.org/abs/2607.27029",
  "title": "Anticipatory Data Governance in the Age of AI: Emerging Signals in Data Access, Reuse, and Sovereignty",
  "summary": "arXiv:2607.27029v1 Announce Type: new Abstract: This paper reports findings from a structured participatory foresight study comprising two expert forecasting studios convened by The GovLab between 2025 and 2026. The studios brought together nineteen senior practitioners spanning official statistics, digital and trade policy, open science, AI governance, geospatial systems, and public-sector innovation across multiple jurisdictions. Applying a qualitative signal-scanning methodology grounded in t",
  "authors": "Adam Zable, Stefaan Verhulst",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-30T04:00:00.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14516",
  "original_url": "https://arxiv.org/abs/2607.27029",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}