Large Language Models as a Semantic Interface and Ethical Mediator in Neuro-Digital Ecosystems: Conceptual Foundations and a Regulatory Imperative
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
Record details
Published: 18 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Children & education · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (18 March 2026), “Large Language Models as a Semantic Interface and Ethical Mediator in Neuro-Digital Ecosystems: Conceptual Foundations and a Regulatory Imperative,” evidence record 7078, https://ethics.ai/record/7078 (originally published by arXiv).
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