学术诚信
科研诚信
过程(计算)
工程伦理学
出版
学术团体
计算机科学
道德标准
政治学
图书馆学
法学
工程类
操作系统
作者
Xiaoxu Ling,Siyuan Yan
标识
DOI:10.1080/08989621.2023.2223997
摘要
Much of the current attention on artificial intelligence (AI)-based natural language processing (NLP) systems has focused on research ethics and integrity but neglects their roles in the editorial and peer-reviewing process. We argue that the academic community needs to develop and apply a consistent end-to-end policy on the ethics and integrity of NLP in academic publishing: standards such as drafting requirements and disclosure criteria imposed on potential contributors should be consistently applied to the editorial and peer review process in academic publications.
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