{
  "id": 7078,
  "url": "https://arxiv.org/abs/2603.17444v1",
  "title": "Large Language Models as a Semantic Interface and Ethical Mediator in Neuro-Digital Ecosystems: Conceptual Foundations and a Regulatory Imperative",
  "summary": "This article introduces and substantiates the concept of Neuro-Linguistic Integration (NLI), a novel paradigm for human-technology interaction where Large Language Models (LLMs) act as a key semantic interface between raw neural data and their social application. We analyse the dual nature of LLMs in this role: as tools that augment human capabilities in communication, medicine, and education, and as sources of unprecedented ethical risks to mental autonomy and neurorights. By synthesizing insig",
  "authors": "Alexander V. Shenderuk-Zhidkov, Alexander E. Hramov",
  "category": "research",
  "topics": "regulation,children-education,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-18T07:34:17.000Z",
  "fetched_at": "2026-07-14T16:32:59.163Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7078",
  "original_url": "https://arxiv.org/abs/2603.17444v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}