生成式人工智能工具在增强图书馆信息编目检索能力、预测用户需求并提供个性化协助、支持信息素养培育并参与馆藏服务决策等方面具有技术优势，已在图书馆知识服务的改善用户协助、优化内容生成、增强检索推荐、支撑素养培育与参与服务决策等方面开展应用。同时，将生成式人工智能工具嵌入到图书馆知识服务也面临着生成内容错漏失真、数据隐私违规泄露、输入输出偏差偏见、用户群体信任障碍等多重挑战。亟待通过智能驱动的内容验证框架创设、算法治理架构设计、信息安全保障体系构建以及专业团队培育等体系化发展举措，保障数智时代背景下图书馆知识服务的可持续发展。

Generative artificial intelligence (GenAI) tools have technical advantages in enhancing the information cataloging and retrieval capabilities of libraries, predicting user needs and providing personalized assistance, supporting information literacy cultivation and participating in collection services decision-making. They have been applied in aspects such as improving user assistance, optimizing content generation, enhancing retrieval recommendations, supporting literacy cultivation and participating in service decision-making in library knowledge services. Embedding generative artificial intelligence tools into library knowledge services faces multiple challenges such as errors and distortions in generated content, data privacy violations and leaks, input-output biases, and trust barriers among user groups. It is urgent to take systematic development measures such as creating an intelligence-driven content verification framework, designing an algorithm governance architecture, building an information security guarantee system, and cultivating professional teams to ensure the sustainable development of library knowledge services in the contect of the digital intelligence era.