Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey

Aug 13, 2025·
Chengyuan Deng
,
Yiqun Duan
,
Xin Jin
,
Heng Chang
,
Yijun Tian
,
Han Liu
,
Yichen Wang
,
Kuofeng Gao
,
Henry Peng Zou
Yiqiao Jin
Yiqiao Jin
,
Yijia Xiao
,
Shenghao Wu
,
Zongxing Xie
,
Weimin Lyu
,
Sihong He
,
Lu Cheng
,
Haohan Wang
,
Jun Zhuang
· 1 min read
Abstract
This survey deconstructs the ethics of large language models, mapping long-standing issues such as bias and misinformation to newly emerging dilemmas including agentic behavior, environmental cost, and cross-cultural alignment. We outline a research agenda for ethics-aware LLM development.
Type
Publication
AI and Ethics, Volume 5, pages 4745–4771 (2025)

Abstract

This survey deconstructs the ethics of large language models, mapping long-standing issues such as bias and misinformation to newly emerging dilemmas including agentic behavior, environmental cost, and cross-cultural alignment.

Yiqiao Jin
Authors
Final-year Ph.D. Candidate in Computer Science
My research sits at the intersection of multimodal foundation models, intelligent agents, and spatial/physical intelligence. I build general-purpose models that perceive, reason, learn, and act in interactive virtual and physical environments.