Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas

Aug 13, 2025·
Chengyuan Deng
,
Yiqun Duan
,
Xin Jin
,
Heng Chang
,
Yijun Tian
,
Han Liu
,
Henry Peng Zou
Yiqiao Jin
Yiqiao Jin
,
Yijia Xiao
,
Yichen Wang
,
Shenghao Wu
,
Zongxing Xie
,
Kuofeng Gao
,
Sihong He
,
Jun Zhuang
,
Lu Cheng
,
Haohan Wang
· 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

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
Ph.D. Candidate in Computer Science
My research focuses on adaptive and efficient AI systems, with emphasis on LLM agents, agent memory, self-distillation, multimodal LLMs, and structured multi-agent intelligence.