大型語言模型醫學應用之倫理挑戰與監理

Ethical Challenges and Governance of Large Language Models in Medical Applications

以大型語言模型為基礎的生成式AI問世後，其應用廣泛帶來生活上的便利性與工作效率提升，然而仍有許多技術與監理面的問題尚待解決。本研究探討大型語言模型於醫學領域應用，所面臨的基本倫理爭議及監管與治理之問題，並回顧臺灣與各國生成式AI相關監理規範及解決爭議之可能方法。

The application of generative AI, particularly large language models (LLMs), brings convenience and enhances work efficiency. However, while exploring these advantages, many ethical issues and challenges related to technology and governance remain unresolved. This study primarily investigates the fundamental controversies and governance issues faced by large language models in their medical applications as generative AI. Finally, it introduces the regulatory principles and guidelines related to generative AI in Taiwan and other countries, along with potential methods to overcome related problems.