Ethics and Social Implications of Large Models

• DOI: 10.31219/osf.io/svwh9_v3
• Publication Date: 2025-04-16T22:33:39Z
• Authors: Xinyuan Song; Silin Chen; Tianyang Wang; Bowen Jing; Junjie Yang; Junhao Song; Keyu Chen; Ming Li; Qian Niu; Junyu Liu; Benji Peng; Sen Zhang; Ming Liu; Jiawei Xu; Xuanhe Pan; Jinlang Wang; Pohsun Feng; Yizhu Wen; Lawrence K.Q. Yan; Hong-ming Tseng; Jintao Ren; WEI-CHE HSIEH; Yichao Zhang; Ziqian Bi; Chuanqi Jiang; Li Zhang; Yan Zhong

Large Language Models (LLMs) have become a cornerstone of modern artificial intelligence (AI), finding applications across various domains such as healthcare, finance, entertainment, and customer service. To understand their ethical and social implications, it is essential to first grasp what these models are, how they function, and why they carry significant impact. This introduction aims to provide a comprehensive and beginner-friendly overview of LLMs, introducing their basic structure, training process, and the types of tasks they are commonly employed for. We will also include simple analogies and examples to ease understanding.