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| 人工智能时代数字化平台学术诚信体系的建设与应用 |
| The Construction and Application of Academic Integrity System on Digital Platform in the Era of Artificial Intelligence |
| 投稿时间：2024-01-28 修订日期：2024-05-28 |
| DOI： |
| 中文关键词: 学术不端 平台建设 人工智能 区块链技术 |
| 英文关键词: academic misconduct platform construction artificial intelligence blockchain technology |
| 基金项目:浙江省高等教育学会2023年度高等教育研究课题项目（KT2023368） |
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| 中文摘要: |
| 本文基于中华医学会杂志社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。 |
| 英文摘要: |
| This article is based on the technical application of the academic journal publishing service platform of the Chinese Medical Association Journal. According to the new characteristics of academic misconduct in the era of artificial intelligence, we explore the detection of various academic misconduct behaviors in digital manuscript processing throughout the whole course. We analyze the limitations of existing technological means, including limited detection accuracy, database barriers, and 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. |
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