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生成式人工智能参与科研:风险冲击、国际借鉴与中国应对

张宇青 刘庆发 赵现军

西南交通大学学报(社会科学版)2025,Vol.26Issue(4):71-84,14.
西南交通大学学报(社会科学版)2025,Vol.26Issue(4):71-84,14.

生成式人工智能参与科研:风险冲击、国际借鉴与中国应对

Generative Artificial Intelligence Participates in Scientific Research:Risk Shocks,Lessons Learned and China's Response

张宇青 1刘庆发 1赵现军1

作者信息

  • 1. 安徽科技学院财经学院
  • 折叠

摘要

Abstract

Scientific research is the most influential field of generative artificial intelligence.Artificial intelligence tools such as ChatGPT and Sora While bringing great convenience to researchers,it is also like a"double-edged sword"that leads to the lack of"intentionality"of knowledge production and the homogeneity of scientific research.Risk shocks such as rumination,lagging discipline progress,deteriorating academic ecology,and deviation from the development track of artificial intelligence.We should fully learn from other parts of the world should be the diversified governance scheme and practice of generative artificial intelligence participating in scientific research risk,combined with the actual situation of scientific research in China,from encouraging non-consensus research,strengthen the self-innovation of generative artificial intelligence,build a regulatory mechanism,design sandbox testing,reform the scientific research evaluation system,and implement scientific research integrity.,form a Chinese plan to deal with risks.

关键词

生成式人工智能/科学研究/风险冲击/中国方案

Key words

Artificial Intelligence Generated Content/scientific research/risk impact/china scheme

引用本文复制引用

张宇青,刘庆发,赵现军..生成式人工智能参与科研:风险冲击、国际借鉴与中国应对[J].西南交通大学学报(社会科学版),2025,26(4):71-84,14.

西南交通大学学报(社会科学版)

1009-4474

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