Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
- VernacularTitle:生成式人工智能辅助学术论文写作的伦理要求专家共识
- Author:
You-Quan BU
1
;
Yong-Fu CAO
;
Zeng-Yi CHANG
;
Hong-Yu CHEN
;
Xiao-Wei CHEN
;
Yuan-Yuan CHEN
;
Zhu-Cheng CHEN
;
Rui DENG
;
Jie DING
;
Zhong-Kai FAN
;
Guo-Quan GAO
;
Xu GAO
;
Lan HU
;
Xiao-Qing HU
;
Hong-Ti JIA
;
Ying KONG
;
En-Min LI
;
Ling LI
;
Yu-Hua LI
;
Jun-Rong LIU
;
Zhi-Qiang LIU
;
Ya-Ping LUO
;
Xue-Mei LV
;
Yan-Xi PEI
;
Xiao-Zhong PENG
;
Qi-Qun TANG
;
You WAN
;
Yong WANG
;
Ming-Xu WANG
;
Xian WANG
;
Guang-Kuan XIE
;
Jun XIE
;
Xiao-Hua YAN
;
Mei YIN
;
Zhong-Shan YU
;
Chun-Yan ZHOU
;
Rui-Fang ZHU
Author Information
- Collective Name:Editorial Department of Acta Anatomica Sinica;Editorial Department of Chemistry of Life
- Publication Type:Journal Article
- Keywords: generative artificial intelligence(GAI); academic writing; ethical requirements
- From: Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
- CountryChina
- Language:Chinese
- Abstract: With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
