{
  "id": 849,
  "url": "https://arxiv.org/abs/2606.30662v1",
  "title": "ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education",
  "summary": "The advent of Generative Artificial Intelligence (GenAI), and in particular Large Language Models (LLMs), is reshaping educational practice, while intensifying ethical debate about its adoption. To date, the dominant paradigm remains cloud-based and text-only chatbot: a centralized service that offers limited pedagogical control, weak transparency over knowledge sources, and non-trivial risks for privacy and regulatory compliance. This model also presumes continuous connectivity and recurring AP",
  "authors": "Lorenzo Stacchio, Michele Giordano, Daniele Berardini, Primo Zingaretti, Emanuele Frontoni",
  "category": "research",
  "topics": "regulation,privacy-surveillance,children-education,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-17T07:01:20.000Z",
  "fetched_at": "2026-07-14T14:14:50.324Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/849",
  "original_url": "https://arxiv.org/abs/2606.30662v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}