{
  "id": 3793,
  "url": "https://arxiv.org/abs/2605.24837v1",
  "title": "Generative AI as a Design Variable: An Evidence-Centered Framework for Principled Governance in STEM Assessment",
  "summary": "Generative Artificial Intelligence (GenAI) presents a governance challenge for STEM assessment. Unrestricted GenAI access enables task outsourcing that undermines the validity of traditional assessments; blanket prohibitions are difficult to enforce, may push use underground, and do little to prepare students for workplaces where GenAI-supported workflows are increasingly common. This paper addresses this dilemma by proposing a framework grounded in Evidence-Centered Design (ECD) that treats Gen",
  "authors": "Yizhu Gao, Zhongzhou Chen, Min Li, Xiaoming Zhai",
  "category": "research",
  "topics": "regulation,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-24T03:06:34.000Z",
  "fetched_at": "2026-07-14T16:30:31.920Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3793",
  "original_url": "https://arxiv.org/abs/2605.24837v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}