摘要
生成式人工智能的快速发展在信息资源管理学科引发显性、深层与颠覆性影响,涉及技术应用、理论重构与学科边界扩展等多个维度。从模型规模提升、多模态生成到个性化内容生成与伦理问题,生成式AI重新定义了知识生产与管理范式,推动了学科核心理念与实践方法的全面升级。本文分析了生成式AI的最新动态及其对信息资源管理学科的影响,探讨其对传统理论与方法的颠覆性冲击,进而提出学科生存与发展的路径思考,呼吁在技术进步中保持核心价值并强化跨学科协作,为学科在未来的持续创新提供指导。
The rapid development of generative artificial intelligence has triggered dominant,deep,and subversive impacts on the discipline of information resource management,involving multiple dimensions such as technology application,theoretical reconstruction,and discipline boundar y expansion.From model size improvement,multimodal generation to personalized content generation and ethical issues,generative AI has redefined the knowledge production and management paradigm,promoting a comprehensive upgrade of the discipline's core concepts and practical methods.This paper analyzes the latest trends of gen erative AI and its impact on the discipline of information resource management,explores its subversive impact on traditional theories and methods,and then proposes thoughts on the path of discipline survival and development,calling for maintaining core values in technological progress and strengthening interdisciplinary collaboration to provide guidance for the continuous innovation of the discipline in the future.
出处
《档案管理》
北大核心
2025年第4期48-51,共4页
Archives Management
基金
许昌学院校内重点科研基金项目“人工智能在高校图书馆智慧服务中的应用研究”(编号:2025ZD011)研究成果之一。
关键词
生成式人工智能
信息资源管理
技术影响
学科发展
伦理治理
理论重构
Generative artificial intelligence
Information resource management
Technological impact
Discipline development
Ethical governance
Theoretical reconstruction
