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.