{
  "id": 1129,
  "url": "https://arxiv.org/abs/2606.12713v1",
  "title": "Definitional alignment before capability alignment: a Design-Science framework for adjudicating claims about AGI",
  "summary": "Claims that artificial general intelligence has already arrived and claims that it remains decades away are often defended from overlapping evidence. \"AGI\" lacks a single shared and stable referent and competing operationalizations can return different verdicts on the same system. This article treats that under-specification as a design and governance problem. Following Design Science Research Methodology, it develops DAF-AGI, a second-order conceptual artifact with two coupled components: five ",
  "authors": "J. E. Aguilera Briones",
  "category": "research",
  "topics": "regulation,safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-10T22:04:56.000Z",
  "fetched_at": "2026-07-14T14:15:03.615Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1129",
  "original_url": "https://arxiv.org/abs/2606.12713v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}