Understanding CUNY Librarians’ Views and Experiences with Generative AI: A Cross-Campus Survey

This study explores how faculty librarians across the City University of New York (CUNY) system perceive the use of generative artificial intelligence (AI) tools, such as ChatGPT, in higher education. It employs a cross-sectional survey design and collects both quantitative and qualitative data to address two central research questions: (1) What are CUNY faculty librarians’ perceptions of the impact of generative AI on library research and information literacy instruction? (2) How are faculty librarians in the CUNY system adapting their information literacy and research support practices in response to the rise of generative AI? A mixed-methods approach allows for descriptive analysis of emergent patterns while also capturing nuanced perspectives through open-ended responses. Through a cross-campus survey, librarians’ views, experiences, and concerns about how these tools affect their work as information professionals are examined. The study tracks patterns across CUNY campuses to understand how librarians are adapting their practices alongside this rapidly expanding technology. The present study also reveals insight into modes of support that may be helpful in navigating the rise of AI in academic settings. Survey results apply to a wide range of academic library systems, especially public university systems within the United States. This research may provide a foundation for librarians, policymakers, and stakeholders alike to consult while expanding their AI support across campus libraries.