Scoping Review of AI, Metrology, and ESG in the Semiconductor Sector: Implications for Safe and Sustainable by Design (SSbD)
arXiv 2607.23082•913f49bcf9317c209a17f4f2afb0be8fcfd05dc4177054ecd0205b2e9a77a36e
AI securityESGaccess controlcontent moderationdata provenancefederated learninginformation integritymisinformationprivacysecure-by-designsemiconductor securitysocial media botssupply chain securitytemporal graphsthreat modeling
Paper metadata
- arXiv ID
- 2607.23082
- Version
- Not specified by this published record
- Category
- Computer Science — Social and Information Networks (cs.SI)
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Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- 913f49bcf9317c209a17f4f2afb0be8fcfd05dc4177054ecd0205b2e9a77a36e
- Enrichment time
- 2026-07-28T08:52:07Z
- AI-assisted enrichment
- Yes
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