{
  "id": 5429,
  "url": "https://arxiv.org/abs/2605.27400v1",
  "title": "Mathematical Modelling of Ethical AI Use in Higher Education: A Coordination Game Framework for Future-Facing Learning",
  "summary": "The rapid uptake of generative artificial intelligence (AI) in higher education is reshaping assessment practices and intensifying concerns around academic integrity, fairness, and learning quality. While institutional responses increasingly emphasise policy guidance and ethical principles, there remains limited formal understanding of how collective norms of responsible or opportunistic AI use emerge and stabilise within student cohorts. This paper reframes student AI use in assessment as a coo",
  "authors": "Ndidi Bianca Ogbo, Zhao Song, Shatha Ghareeb, The Anh Han",
  "category": "research",
  "topics": "bias-fairness,regulation,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-23T21:21:14.000Z",
  "fetched_at": "2026-07-14T16:31:44.625Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5429",
  "original_url": "https://arxiv.org/abs/2605.27400v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}