{
  "id": 11756,
  "url": "https://arxiv.org/abs/2607.16112v1",
  "title": "Harmonizing AI Safety Thresholds",
  "summary": "Frontier AI companies have published capability thresholds that differ substantially, making it difficult for third parties to verify whether a threshold has been crossed or to compare requirements across companies. Moreover, without common minimum thresholds, risk mitigation may be inconsistent, creating a potential race to the bottom in safety standards. We develop a methodology for deriving harmonized thresholds across three risk domains. For misuse risks (cyber and biological), we take expec",
  "authors": "Wilber Sean Anterola, Matthew Ball, Luis F. Lafuerza, Markov Grey",
  "category": "research",
  "topics": "safety-alignment,military-security,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-17T16:45:30.000Z",
  "fetched_at": "2026-07-20T05:10:09.534Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/11756",
  "original_url": "https://arxiv.org/abs/2607.16112v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}