Scoping Review of AI, Metrology, and ESG in the Semiconductor Sector: Implications for Safe and Sustainable by Design (SSbD)

2026-07-28T08:52:07Z913f49bcf9317c209a17f4f2afb0be8fcfd05dc4177054ecd0205b2e9a77a36e
AI securityESGaccess controlcontent moderationdata provenancefederated learninginformation integritymisinformationprivacysecure-by-designsemiconductor securitysocial media botssupply chain securitytemporal graphsthreat modeling

What happened

The document is an arXiv security-adjacent research feed covering AI governance, privacy-preserving federated disclosure, semiconductor sustainability, misinformation and bot ecosystems, information diffusion, recommender systems, and temporal graph modeling. It contains no specific vulnerability disclosure, exploit, malware, threat actor, or affected product/version. The most security-relevant themes are provenance-aware data governance, minimum-necessary disclosure, defensive RegTech, online manipulation, bot activity, and content integrity.

Why it matters

A reviewed impact interpretation has not been published for this record.

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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