The integration of Generative Artificial Intelligence (GAI) and Large Language Models (LLMs) in academia has spurred a global discourse on their potential pedagogical benefits and ethical considerations. Positive reactions highlight some potential, such as collaborative creativity, increased access to education, and empowerment of trainers and trainees. However, negative reactions raise concerns about ethical complexities, balancing innovation and academic integrity, unequal access, and misinformation risks. Through a systematic survey and text-mining-based analysis of global and national directives, insights from independent research, and eighty university-level guidelines, this study provides a nuanced understanding of the opportunities and challenges posed by GAI and LLMs in education. It emphasizes the importance of balanced approaches that harness the benefits of these technologies while addressing ethical considerations and ensuring equitable access and educational outcomes. The paper concludes with recommendations for fostering responsible innovation and ethical practices to guide the integration of GAI and LLMs in academia.

本研究通过系统调查、基于文本挖掘的全球和国家指南、独立研究以及八十所大学层面的指导，提供了对教育中生成式人工智能（GAI）和大型语言模型（LLMs）的机会和挑战进行细致的理解。研究强调了在这些技术的整合过程中平衡方法的重要性，以 harness 利用其技术优势的同时，考虑伦理问题，并确保公平的获取和教育结果。最后，本文提出了促进负责任创新和道德实践，指导将GAI和LLMs整合到学术中的建议。

生成型人工智能和大型语言模型的全球学术指南概览