Positioning Generative Artificial Intelligence in STEM Assessment: When to Require, Scaffold, or Restrict Its Use

2026-08-11T07:23:44Z9aa458e0b91dd88771c2308b416d3335e35a24664b1a61ad9333a774a883f745
agentic-aiai-risk-managementai-safetyartificial-intelligenceeducation-technologyeu-ai-actexplainable-aigenerative-aihealthcare-aiiso-42001llm-governancemodel-evaluationnist-ai-rmfopen-weight-modelspublic-service-assistants

What happened

A collection of recent arXiv papers covering generative AI governance, well-being-oriented language models, open-weight model risk management, AI regulatory alignment, agent-based simulation, safety-critical public-service assistants, explainable healthcare ML, AI-assisted exam difficulty calibration, and AI-enabled indie game development. The material is primarily research and policy analysis rather than reporting a specific cyberattack, exploit, or vulnerability.

Why it matters

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

Evidence and limitations

Source ID
arxiv_cs_cy
Record identifier
9aa458e0b91dd88771c2308b416d3335e35a24664b1a61ad9333a774a883f745
Enrichment time
2026-08-11T07:23:44Z
AI-assisted enrichment
Yes

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Record · Positioning Generative Artificial Intelligence in STEM Assessment: When to Require, Scaffold, or Restrict Its Use · Baitaphish