摘要
生成式人工智能正推动学术知识生产从“人类主导”向“人机协同互生”范式转型。这一转型内蕴着深层矛盾:数智技术的高效性与传统期刊出版流程的迟滞性产生的冲突。以国产大模型DeepSeek为例,系统阐释学术期刊如何通过全流程数智化应用应对挑战。基于创新经济学理论剖析技术颠覆与制度刚性的互动机制,揭示知识生产范式的深层动因以及学术期刊出版在审稿效率、跨学科评审、伦理治理、传播效能四大核心环节的痛点。发现DeepSeek通过“选题预测-集稿引导-智能审稿-编校优化-传播创新”五维赋能,为期刊提供效率、质量、伦理兼顾的解决方案,帮助学术期刊升级为智能化知识治理平台,实现学术知识从生产到传播的创新。其价值不仅在于技术工具升级,更在于学术期刊出版生态的系统性重构。学术期刊需要在人与机器的互生性实践中坚守人类主体性地位,推动学术知识生产的可持续发展。
Generative artificial intelligence(GenAI)is driving the transformation of academic knowledge production from a“human-dominated”paradigm to a“human-machine collaborative and symbiotic”one.This transformation is underpinned by deep contradictions:the efficiency of digital intelligence technologies clashes with the sluggishness of traditional journal publication processes.Based on innovation economics theory,this paper analyzes the interaction mechanism between technological disruption and institutional rigidity,revealing the deep drivers of the knowledge production paradigm shift and the problems in the four core areas of academic journal publishing:review efficiency,interdisciplinary evaluation,ethical governance,and dissemination effectiveness.Taking the domestic large model DeepSeek as an example,this paper systematically explains how academic journals can address challenges through the application of full-process digital intelligence.The research confirms that,through its five-dimensional empowerment-“topic prediction,manuscript solicitation guidance,intelligent review,editing and proofreading optimization,and dissemination innovation”-DeepSeek provides academic journals with a solution balancing efficiency,quality,and ethics,helping them evolve into intelligent knowledge governance platforms and explore innovations in the production and dissemination of academic knowledge.Its value lies not only in the upgrade of technological tools,but also in the systematic reconstruction of the academic journal publishing ecosystem.Academic journals need to uphold the human subject position in the symbiotic practice of humans and machines to promote the sustainable development of academic knowledge production.
作者
黄燕
HUANG Yan(Journal Editorial Department,Nanjing Audit University,Nanjing Jiangsu 211815,China)
出处
《苏州大学学报(哲学社会科学版)》
北大核心
2025年第4期181-192,共12页
Journal of Soochow University(Philosophy & Social Science Edition)
基金
2024年度江苏期刊出版研究课题“数智时代学术期刊高质量发展研究”(项目编号:2024JSQKB40)的阶段性成果。
关键词
生成式人工智能
DeepSeek
知识生产
期刊出版
数智化
generative artificial intelligence
DeepSeek
knowledge production
journal publishing
digital intelligence
