首页|AIGC在学术研究和出版中的使用边界、透明度与伦理

AIGC在学术研究和出版中的使用边界、透明度与伦理

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在生成式人工智能(GenAI)时代,人工智能生成内容(AIGC)技术为学术研究、论文写作以及学术出版带来了颠覆性的变革,成为推动科技进步和社会发展的新质生产力.文章分析了 AIGC大语言模型的3大应用场景(研究、出版、传播);验证了 AI辅助审稿的效果,讨论了 AI辅助优化论文标题、关键词以及期刊封面设计的重要性;探讨了 AIGC大语言模型易受引导与暗示的特点及其潜在的歧视、偏见、信息泄露和数据泄露等风险;基于《学术出版中AIGC使用边界指南》和《负责任研究行为规范指引(2023)》,总结了 AIGC在学术出版中的使用边界与使用规范.结果表明:AIGC在特定条件下可以谨慎使用,并且其使用行为需要透明披露与伦理声明.学术界应不断更新使用边界指南,加强对AIGC使用伦理的规制,为明确学术诚信和防止学术不端提供更加健全的参考依据.
Boundaries,transparency,and ethical of AIGC in academic research and publishing
In the era of generative artificial intelligence(GenAI),the technology of artificial intelligence generated content(AIGC)has brought about a ransformative change in academic research,paper writing,and scholarly publishing,becoming a"New Quality Productivity"driving technological progress and societal development.This paper analyzed the three major application scenarios of AIGC Large Language Models(research,publishing,dissemination),verifies the effectiveness of AI-assisted peer review and discusses the importance of AI-optimized paper titles,keywords,and journal cover designs;explores the characteristics of AIGC Large Language Models being susceptible to guidance and suggestion,along with the potential risks of discrimination,bias,information leakage,and data breaches.Based on the"Guideline on the Boundaries of AIGC Usage in Academic Publishing"and the"Code of Conduct for Responsible Research Practices(2023)",the boundaries and norms for the use of AIGC in academic publishing are summarized.The results indicate that AIGC can be used cautiously under specific conditions,with transparent disclosure and ethical statements.The academic community should continuously update the guidelines for usage boundaries,strengthen the regulation of ethical usage of AIGC,and provide more robust references for defining academic integrity and preventing academic misconduct.

generative artificial intelligenceartificial intelligence generated contentnew quality productivityscholarly publishingusage boundariesacademic ethicsAI-assisted peer reviewdata breach

谭春林、王建平

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华南师范大学期刊管理中心,《华南师范大学学报(自然科学版)》编辑部,510631,广州

生成式人工智能 人工智能生成内容 新质生产力 学术出版 使用边界 学术伦理 AI辅助审稿 数据泄露

2024

编辑学报
中国科学技术期刊编辑学会

编辑学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.399
ISSN:1001-4314
年,卷(期):2024.36(6)