人工智能生成内容在学术出版中的使用框架构建研究
Construction of guidelines for the use of AIGC in academic publishing
郑雯雯 1武悦 2王美玲 1甄颖3
作者信息
- 1. 中国科学技术信息研究所,北京市海淀区复兴路15号 100038
- 2. 东北师范大学,吉林省长春市净月高新技术产业开发区净月大街2555号 130117
- 3. 中国农业大学,北京市海淀区清华东路17号 100083
- 折叠
摘要
[目的]从学术出版的角度,为管理部门及学术出版业界防范使用人工智能生成内容(Artificial Intelligence Generated Content,AIGC)技术导致的诚信和伦理问题提供实践框架,净化学术出版环境,推进科学研究高质量发展.[方法]通过文献调研法及网络调研法梳理国内外关于AIGC技术的研究现状,调研分析出版商、国际组织等机构的AIGC使用政策或指南,设计AIGC在学术出版中的使用框架.[结果]当前各出版商及机构针对作者、编辑及审稿人制定AIGC技术的使用政策,内容较为全面,但在具体规定方面尚未达成共识.[结论]提出以透明度和问责制、质量和诚信、隐私和安全、公平、可持续发展的编制原则,按照研究开展和论文撰写阶段、投稿阶段、论文发表或出版后的学术出版基本流程,设计AIGC在学术出版中的使用框架.
Abstract
[Purposes]This study aims to provide practical guidelines for management departments and the academic publishing industry to prevent integrity and ethical issues arising from the use of artificial intelligence generated content(AIGC)technology,purify the academic publishing environment,and promote the high-quality development of scientific research.[Methods]We used literature review and network research methods to examine the current state of research on AIGC technology both domestically and internationally.We investigated and analyzed the policies or guidelines on AIGC usage from publishers,international organizations,and other institutions to design a framework for AIGC usage in academic publishing.[Findings]Currently,publishers and organizations have established policies regarding the use of AIGC technology for authors,editors,and reviewers.While the content is relatively comprehensive,there is no complete consensus on the specific details.[Conclusions]We propose designing a framework for the use of AIGC in academic publishing based on the principles of transparency and accountability,quality and integrity,privacy and security,fairness,and sustainability.This framework will cover the essential stages of academic publishing,including research and writing,submission,and post-publication.
关键词
人工智能生成内容/学术出版/科研诚信/学术伦理Key words
AIGC/Academic publishing/Research integrity/Academic ethics引用本文复制引用
基金项目
中国科学技术信息研究所创新研究基金面上项目(MS2024-04)
出版年
2024
NETL
NSTL
万方数据