| 莫琳芳,孙岩,余党会,甘辉亮.人工智能生成内容在期刊学术论文中的标识研究.编辑学报,2026,38(1):75-81 |
| 人工智能生成内容在期刊学术论文中的标识研究 |
| Research on the identification of AI-generated content in journal academic papers |
| |
| DOI：10.16811/j.cnki.1001-4314.2026.01.013 |
| 中文关键词: 人工智能生成内容 学术论文 技术挑战 科研诚信 标识体系 |
| 英文关键词: artificial intelligence generated content academic papers technical challenges research integrity identification system |
| 基金项目:*2025年“长江文库计划”编辑学研究项目(CESSP-CJWK-2025014)；2025年应用型期刊专项开放课题(CACJ202502ZC)；上海市高校科技期刊研究基金(SHGX2024A04) |
|
| 摘要点击次数: 1001 |
| 全文下载次数: 560 |
| 中文摘要: |
| 随着人工智能(AI)技术在学术研究领域的广泛应用,AI生成内容(AIGC)在期刊学术论文中的标识问题日益凸显,成为影响科研诚信与学术交流的关键因素。本研究分析AIGC在期刊学术论文中标识的技术挑战,梳理当前国内外不同AIGC标识应用实践路径；从AIGC标识制度、技术赋能、多层次审查和教育培训4个维度,构建有针对性的AIGC在期刊学术论文中的标识体系,完善AI时代的科研诚信建设,促进学术生态健康发展。 |
| 英文摘要: |
| With the extensive and widespread application of artificial intelligence (AI) technology in academic research endeavors, the task of identifying AI-generated content (AIGC) within journal articles has garnered increasing prominence, emerging as a pivotal factor that significantly influences research integrity and the smooth flow of academic communication. This study delves into the technical challenges encountered when identifying AIGC in journal articles, provides a comprehensive review of current domestic and international practices pertaining to AIGC identification, and constructs a specifically tailored identification system for AIGC in journal articles across four key dimensions:AIGC identification policies, technological empowerment, multi-level review mechanisms, and education and training initiatives. The ultimate objective is to bolster research integrity in the AI era and foster the robust and healthy development of the academic ecosystem. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
|
|
