The rise of Generative AI (GAI) and Large Language Models (LLMs) has transformed industrial landscapes, offering unprecedented opportunities for efficiency and innovation while raising critical ethical, regulatory, and operational challenges. This study conducts a text-based analysis of 160 guidelines and policy statements across fourteen industrial sectors, utilizing systematic methods and text-mining techniques to evaluate the governance of these technologies. By examining global directives, industry practices, and sector-specific policies, the paper highlights the complexities of balancing innovation with ethical accountability and equitable access. The findings provide actionable insights and recommendations for fostering responsible, transparent, and safe integration of GAI and LLMs in diverse industry contexts.

翻译：生成式人工智能（GAI）与大型语言模型（LLMs）的兴起正在重塑工业格局，其在带来前所未有的效率提升与创新机遇的同时，也引发了严峻的伦理、监管与运营挑战。本研究对涵盖十四大工业部门的160份指南与政策声明进行了文本分析，运用系统化方法与文本挖掘技术，以评估这些技术的治理现状。通过审视全球性指导方针、行业实践及部门特定政策，本文揭示了在创新、伦理问责与公平获取之间取得平衡的复杂性。研究结果为在不同工业背景下促进GAI与LLMs负责任、透明且安全的整合，提供了可操作的见解与建议。