{
  "id": 19440,
  "url": "https://arxiv.org/abs/2608.13428v1",
  "title": "RAIL: An Automatic Classifier of the Artificial Intelligence Readiness Level",
  "summary": "Assessing the maturity of artificial intelligence technologies is essential for investment decisions, project management, and policy monitoring, yet the available readiness frameworks are heterogeneous and difficult to apply automatically: the adaptation of Technology Readiness Levels to AI lacks AI-specific gating criteria, the Machine Learning Technology Readiness Levels presuppose access to internal process artifacts, and AI/data readiness dimension models employ scales that resist direct com",
  "authors": "Juan Irving Vasquez, Juan Terven, Laura-Ivoone Garay-Jimenez",
  "category": "research",
  "topics": "regulation,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T16:17:41.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19440",
  "original_url": "https://arxiv.org/abs/2608.13428v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}