人工智能时代数字化平台学术诚信体系的建设与应用

Construction and application of academic integrity system for digital platform in the era of artificial intelligence

为加强学术诚信技术体系建设,助力人工智能时代数字化平台系统升级,本文基于中华医学会杂志社一体化学术期刊出版服务平台的技术应用,结合人工智能时代学术失范的新特点,探讨数字化稿件处理中各类学术不端行为的全程检测。分析现有技术手段的局限性,包括检测精准度有限、数据库壁垒、图像检测难度大等问题,提出利用人工智能、区块链技术、规范数据引注标识等工具,帮助平台升级系统,助力学术诚信体系的技术建设。

Based on the technical application of the academic journal publishing service platform of the Chinese Medical Association Journal,this paper explored the detection of various academic misconduct behaviors during the whole process of digital manuscript management,combining the new characteristics of academic misconduct in the era of artificial intelligence.We analyzed the limitations of existing technical means,including limited detection accuracy,database barriers,and the difficulty in image detection.Then it’s proposed that using tools such as artificial intelligence,blockchain technology,and standardized data citation identification can help the platform upgrade its system,and assist in the technical construction of the academic integrity system.