出版科学 ›› 2020, Vol. 28 ›› Issue (5): 68-.

• 出版学 出版工作 • 上一篇    下一篇

同行评审的人工智能应用 :现状与挑战

  

  1. 华南理工大学新闻与传播学院
  • 出版日期:2020-09-15 发布日期:2020-09-28
  • 作者简介:刘银娣,管理学博士,华南理工大学新闻与传播学院教授。
  • 基金资助:
    本文系 2017 年度国家社科基金面上项目“基于社交媒体的新闻数据核查研究”(17BXW096);华南理
    工大学中央高校基本科研业务费重大培育项目“移动新闻媒体质量评估与提升策略研究”(2018ZDXMPY13)研究成果。

Artificial Intelligence Application in Peer Review:Current Situation and Challenges

  1. The School of Journalism and Communication, South China University of Technology
  • Online:2020-09-15 Published:2020-09-28

摘要:

同行评审(Peer Review)是国际上科技期刊稿件评审的基本制度。科技出版商已经
使用一些早期人工智能(Artificial Intelligence,AI)技术来增强和自动化同行评审中涉及的任务,
包括同行评审行政管理环节的编辑管理系统、专家同行评审过程的论文和评审专家分析和匹配以
及数据核查和验证环节的人工智能应用。人工智能既可能解决同行评审系统中出现的问题,也面
临科技出版价值判断的伦理困境、数据开放和可靠性以及科技出版产业集中度进一步提高的挑战。

关键词:

Abstract:

The Peer Review is the basic system for reviewing manuscripts in academic
journals internationally. Science, Technology and Medicine(STM)publishers have used some
of the early Artificial Intelligence(AI)technologies to enhance and automate the tasks involved
in peer review, including editorial management systems for peer review administration, peer
review process papers and review expert analysis and matching, and data verification and
validation Artificial Intelligence application in syndrome links. Artificial Intelligence may not only
solve the problems in peer review system, but also face the ethical dilemma of value judgment,
data openness and reliability, and the challenge of further improving the concentration of STM
publishing industry. 

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