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 insights from AI ethics, neuroethics, and the philosophy of technology, the article critiques the inherent limitations of LLMs as semantic mediators, highlighting core challenges such as the erosion of agency in translation, threats to mental integrity through precision semantic suggestion, and the emergence of a new `neuro-linguistic divide' as a form of biosemantic inequality. Moving beyond a critique of existing regulatory models (e.g., GDPR, EU AI Act), which fail to address the dynamic, meaning-making processes of NLI, we propose a foundational framework for proactive governance. This framework is built on the principles of Semantic Transparency, Mental Informed Consent, and Agency Preservation, supported by practical tools such as NLI-specific ethics sandboxes, bias-aware certification of LLMs, and legal recognition of the neuro-linguistic inference. The article argues for the development of a `second-order neuroethics,' focused not merely on neural data protection but on the ethics of AI-mediated semantic interpretation itself, thereby providing a crucial conceptual basis for steering the responsible development of neuro-digital ecosystems.

翻译：本文提出并论证了神经语言整合这一新范式，该范式将大型语言模型定位为原始神经数据与社会应用之间的关键语义接口。我们分析了LLM在此角色中的双重属性：既是增强人类在沟通、医疗及教育领域能力的工具，又是对心智自主权与神经权利构成前所未有的伦理风险的源头。通过整合人工智能伦理、神经伦理与技术哲学的洞见，本文批判了LLM作为语义中介的内在局限性，重点揭示了翻译过程中主体性侵蚀、精准语义建议对心智完整性的威胁，以及作为生物语义不平等新形态的“神经语言鸿沟”等核心挑战。在超越对现有监管模式（如GDPR、欧盟人工智能法案）的批判基础上——这些模式未能应对NLI动态的意义生成过程——我们提出了一个基于前瞻性治理的基础框架。该框架以语义透明度、心智知情同意和主体性维护为原则，并通过NLI专用伦理沙盒、LLM偏见感知认证、神经语言推理的法律承认等实践工具予以支撑。本文主张发展“二阶神经伦理学”，其焦点不应仅限于神经数据保护，更应关注人工智能介导的语义解释本身的伦理问题，从而为引导神经数字生态系统的负责任发展提供关键概念基础。