{
  "id": 5966,
  "url": "https://arxiv.org/abs/2604.11033v1",
  "title": "An ontological approach to foster the convergence, interoperability and operationalization of frameworks for Trustworthy AI",
  "summary": "AI systems are consistently evolving in terms of both capability and autonomy with an holistic social impact. In this context of proliferation and fast technological evolution, the scientific community is actively engaged to assure Trustworthy AI. However, in general terms, AI safety research is significantly slower and is facing critical challenges in terms of strategy, consensus and operationalisation. This paper presents AI-Ethics Ontology (AI-EO) which, by leveraging Semantic Technologies on",
  "authors": "Salvatore Flavio Pileggi",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-13T05:57:40.000Z",
  "fetched_at": "2026-07-14T16:32:11.180Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5966",
  "original_url": "https://arxiv.org/abs/2604.11033v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}