{
  "id": 14946,
  "url": "https://arxiv.org/abs/2607.28094v1",
  "title": "An Instrument to Evaluate Governance Proposals: AI Policy Analysis at Scale",
  "summary": "This paper introduces a policy analysis framework for systematic, transparent assessment of AI governance proposals in an evolving and contested regulatory landscape. AI policy debates often collapse into binary positions that obscure underlying tradeoffs and normative assumptions. The framework structures policy analysis around multiple policy attributes, allowing users to surface priorities and tensions without prescribing outcomes. We use a mixed-methods approach that integrates qualitative i",
  "authors": "Paulo Carvao, Claudio Mayrink Verdun, Isabel Adler, Jeffrey Zhou",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-30T12:06:53.000Z",
  "fetched_at": "2026-07-31T05:10:57.675Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/14946",
  "original_url": "https://arxiv.org/abs/2607.28094v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}