Integrating AI into the Library Assessment Cycle: Practical Insights and Ethical Considerations

Although Artificial Intelligence (AI) technologies continue to evolve and influence various areas of academia, their use in library assessment remains largely limited to data analysis and prediction. This column explores how AI can support each phase of the assessment cycle, from planning and design to implementation and reporting, while addressing key ethical considerations throughout. While not exhaustive, this column primarily offers suggestions and proposals for using AI tools in assessment practice, supplemented by brief examples based on limited testing to illustrate potential applications. It contends that meaningful and responsible assessment must remain rooted in professional judgment, contextual understanding, and ethical responsibility, with AI serving as a tool to enhance, rather than replace, the intentional and reflective decision-making processes essential to effective assessment.