Abstract:
This study aims to explore the extent of AI integration in public libraries, identify
the benefits and challenges faced by libraries in adopting AI technologies, and
propose strategies for effective implementation. It seeks to provide a
comprehensive overview of the current state of AI applications in library services
and offer insights into future trends. Employing a qualitative research design, this
study collected data through semi-structured interviews with 29 participants,
including librarians, IT specialists, library managers, and library users. Thematic
analysis was used to analyze the interview transcripts, allowing for the
identification of key themes related to AI integration in public libraries. Four main
themes emerged from the data: AI Applications, Challenges and Responses,
Service Evolution, and Adoption and Integration. AI Applications were
categorized into User Interaction, Operational Tasks, and Learning Tools,
highlighting AI's role in enhancing service delivery and operational efficiency.
Challenges and Responses revealed technical barriers, staff training needs, user
engagement issues, and financial constraints as significant obstacles to AI
adoption. Service Evolution demonstrated AI's impact on information accessibility,
user experience, operational improvements, and community outreach. Adoption
and Integration emphasized the importance of strategic planning, community
involvement, and policy compliance in successfully integrating AI into library
services. The study concludes that while AI offers substantial opportunities to
redefine public library services, its successful integration requires addressing
technical, ethical, and financial challenges. Libraries must focus on staff training,
ethical AI use, and strategic planning to fully realize the benefits of AI. Future
research should aim to quantify the impact of AI on library services and explore
innovative AI applications in diverse library contexts
