大语言模型嵌入图书馆知识服务的风险范式与管控策略  

The Risk Paradigm and Management Strategies of Embedding Big Language Model into LibraryKnowledge Services

作　　者：罗飞[1] 崔滨[2] 辛小江 郭云鹏 Luo Fei;Cui Bin;Xin Xiaojiang

机构地区：[1]重庆财经职业学院,重庆402160 [2]重庆三峡学院图书馆,重庆404199

出　　处：《图书与情报》2023年第3期99-106,共8页Library & Information

基　　金：教育部职业院校数字化转型行动研究课题“基于BPM的高等职业学校组织体系数字化转型路径的行动研究”(项目编号:KT22157)研究成果之一。

摘　　要：AI2.0的颠覆性变革中迅速迭代的大语言模型深刻改变了自然语言处理的研究范式。具有强大涌现能力的跨域模型产品嵌入智慧图书馆的知识采集挖掘、存储管理、共享应用等主要环节,能够在多意图的多步复杂任务中准确迅捷地深度挖掘读者的行为规律、需求特征与情感链接,大力推进图书馆知识服务的内容优化、功能拓展与模式创新,却也在泛化适用过程中暴露出全栈技术风险、伦理规范风险、隐私安全风险与版权保护风险等。亟待在构筑安全驱动的嵌入模式和价值对齐的运作范式的基础上,增强模型应用的技术防御与质量评价能力,完善相关政策法规和监管措施并培养智慧馆员的职业技能,推动理性、安全、可靠且可解释的知识协同创新发展。The rapidly iterating Big Language Model in the disruptive transformation of AI2.0 has profoundly changed the research paradigm of natural language processing.Cross-domain model products with strong emergence capabilities are embedded in the main links of knowledge collection,mining,storage management,and shared applications of smart libraries.They can accurately and quickly deeply mine readers'behavioral patterns,demand characteristics,and emotional links in multi intention and multi-step of complex tasks,vigorously promoting content optimization,functional expansion,and mode innovation of library knowledge services.They also expose full-stack technical risks,ethical risks,regulatory risks,privacy risks,safety risks,copyright protection risks in the process of generic application.On the basis of building a security driven embedded model and a value aligned operational paradigm,it is urgent to enhance the technical defense and quality evaluation capabilities of model applications,improve relevant policies,regulations,regulatory measures,and cultivate professional skills of smart librarians,in order to promote rational,safe,reliable,and explicable innovation development of knowledge collaboration.

关 键 词：大语言模型 智慧图书馆 知识服务 风险范式 管控策略 

分 类 号：C25[社会学]