As Artificial Intelligence (AI), particularly Large Language Models (LLMs), becomes increasingly embedded in education systems worldwide, ensuring their ethical, legal, and contextually appropriate deployment has become a critical policy concern. This paper offers a comparative analysis of AI-related regulatory and ethical frameworks across key global regions, including the European Union, United Kingdom, United States, China, and Gulf Cooperation Council (GCC) countries. It maps how core trustworthiness principles, such as transparency, fairness, accountability, data privacy, and human oversight are embedded in regional legislation and AI governance structures. Special emphasis is placed on the evolving landscape in the GCC, where countries are rapidly advancing national AI strategies and education-sector innovation. To support this development, the paper introduces a Compliance-Centered AI Governance Framework tailored to the GCC context. This includes a tiered typology and institutional checklist designed to help regulators, educators, and developers align AI adoption with both international norms and local values. By synthesizing global best practices with region-specific challenges, the paper contributes practical guidance for building legally sound, ethically grounded, and culturally sensitive AI systems in education. These insights are intended to inform future regulatory harmonization and promote responsible AI integration across diverse educational environments.

翻译：随着人工智能（AI），特别是大语言模型（LLMs）在全球教育系统中的日益普及，确保其符合伦理规范、法律要求及情境适用性的部署已成为关键政策议题。本文对欧盟、英国、美国、中国及海湾合作委员会（GCC）国家等主要区域的人工智能相关监管与伦理框架进行了比较分析，系统梳理了透明度、公平性、问责制、数据隐私和人类监督等核心可信原则如何融入地区立法与人工智能治理体系。研究特别关注海湾合作委员会地区快速演进的政策环境，该区域各国正积极推进国家人工智能战略与教育领域创新。为支持这一发展，本文提出了适用于海湾合作委员会情境的合规导向人工智能治理框架，包含分层分类体系与制度核查清单，旨在帮助监管机构、教育工作者和开发者将人工智能应用与国际规范及本土价值相协调。通过整合全球最佳实践与区域特定挑战，本研究为构建法律健全、伦理坚实且文化敏感的教育人工智能系统提供了实践指导，相关见解可为未来监管协调提供参考，并促进多元教育环境中负责任的人工智能融合。