In the context of artificial intelligence generated content(AIGC),academic ecological risks are amplified,including the risk of decreased credibility of scientific papers based on real research,the risk of a surge in the number of scientific papers based on academic misconduct,and the risk that the author is not held accountable.However,the original risk prevention method can only identify the third risk well,while the identification effect of the first two risks which will both affect the credibility of scien-tific and technological papers is poor.In view of the fact that papers with low credibility usually lack sufficient support of scientific research facts,we propose to combine the review of scientific papers with the authenticity of scientific research behavior and results to build a collaborative prevention system.The system includes a long-term big data comparison mechanism for scientific research,an image traceability mechanism for experimental generation,a supervision mechanism for scientific research institutions,and a standardized process for reporting and handling repeated experimental failures,which makes the academic norms of scientific and technological papers more systematic and complete,and is conducive to improving research reliability and guaranteeing the credi-bility of scientific and technological papers.It also helps to enhance the academic atmosphere and improve China's international a-cademic discourse power.
关键词
生成式人工智能/人工智能生成内容/科技论文/学术生态/学术监管/科研管理
Key words
Generative artificial intelligence/Artificial intelligence generates content/Scientific and technological papers/A-cademic ecology/Academic supervision/Scientific research management
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