在数智化转型的浪潮下，开展图书情报人员算法素养研究，既是重塑图书情报人员核心竞争力、推动学科向数智驱动范式转型的内在要求，也是保障算法治理体系下信息公平与伦理正义的关键举措。文章基于现有的相关研究文献，构建了针对图书情报人员的算法素养评价体系，并运用SPSS软件对问卷数据进行分析。结果表明，图书情报人员的整体算法素养水平较好，但算法知识、算法技能相关素养水平仍有待提高。此外，算法素养在性别、年龄等方面存在显著差异。基于此，提出了加强学习培训和实践应用、培养批判性思维、制定差异化培训方案以及加强算法风险教育学习的建议和策略。

In the wave of digital intelligence transformation, conducting research on algorithmic literacy among library and information personnel is not only an inherent requirement for reshaping their core competitiveness and promoting the transformation of the discipline towards a digital intelligence-driven paradigm, but also a key measure to ensure information fairness and ethical justice under the algorithm governance system. This paper, based on existing literature on algorithmic literacy and related evaluation systems, constructs an algorithmic literacy evaluation system for library and information personnel and uses SPSS software to analyze the data. The results show that the overall algorithmic literacy level of library and information personnel is relatively good, but the levels of algorithmic knowledge and skills still need improvement. Furthermore, significant differences exist in algorithmic literacy in terms of gender and age. Based on this, suggestions and strategies are proposed, including strengthening learning，training and practical application, cultivating critical thinking, developing differentiated training programs, and strengthening education on algorithmic risks.