{
  "id": 13798,
  "url": "https://arxiv.org/abs/2607.23082",
  "title": "Scoping Review of AI, Metrology, and ESG in the Semiconductor Sector: Implications for Safe and Sustainable by Design (SSbD)",
  "summary": "arXiv:2607.23082v1 Announce Type: cross Abstract: The semiconductor sector faces a dual transition: scaling manufacturing execution through Artificial Intelligence (AI) while satisfying stringent sustainability mandates, such as the EU Carbon Border Adjustment Mechanism (CBAM). This paper presents a scoping review of 1,465 documents indexed in Web of Science and Scopus, spanning AI-integrated metrology, supply chain ESG, and federated industrial data spaces. Network analysis reveals a highly fra",
  "authors": "Karen Ang, Han-Teng Liao",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-07-28T04:00:00.000Z",
  "fetched_at": "2026-07-28T05:10:12.325Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13798",
  "original_url": "https://arxiv.org/abs/2607.23082",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}