Scaffolding Critical Engagement with GenAI: Transforming Ethnic Minority Preparatory Students' Collaborative Discourse in Prompt Engineering Tasks
2026-08-03T07:23:45Z•d07ef84541c046ec7ff8de13f9c758ef038ea947e7d643ecb89b14b601ab7709
ai-governanceai-transparencyalgorithmic-biasartificial-intelligenceclinical-aidata-qualityeducation-technologyenterprise-aigenerative-aihealthcare-triagelegal-aillm-safetymodel-evaluationrisk-management
What happened
This arXiv feed contains research on AI safety, reliability, governance, transparency, education, healthcare triage, legal AI, data quality, and enterprise deployment. The most security-relevant themes are hidden data errors, uncalibrated reliance on generative AI, clinical under-triage, and weaknesses in government AI transparency. No specific cyberattack, exploitable software vulnerability, or assigned CVE is described.
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- d07ef84541c046ec7ff8de13f9c758ef038ea947e7d643ecb89b14b601ab7709
- Enrichment time
- 2026-08-03T07:23:45Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.