Artificial Intelligence (AI) applications and usage among the LIS professionals of Pakistan

Abstract

Artificial intelligence (AI) is an important and emerging sub-discipline in information technology that is progressively being implemented in every field. It is gradually being introduced to support new forms of research, discovery, and reuse of library contents in advanced and interesting ways. University libraries have the potential to substantially improve their library services through the implementation of sophisticated AI tools. This study explored the application of AI tools in the university libraries of Pakistan, as well as draw a comparison in the usage of AI tools between public and private sector universities. This is a quantitative study and data is collected through survey methodology. We used purposive sampling to collect the data from 175 university libraries. The collected data was analyzed using a statistical package for social sciences (SPSS-version 22). Findings indicate that while AI-based services are starting to be introduced into university libraries in Pakistan, no university library has implemented the full suite of AI-based tools. Natural language processing, voice searching, and chatbots are the most familiar and popular tools currently used in libraries. However, robotics technology is rarely used with a mean value of (1.62) because of the financial investment and high level of IT skills required. We found that private university libraries are using AI tools more as compared with public sector university libraries. The study concludes with several key recommendations, including closer collaboration between the library and the respective university IT department for technical support and assistance; improved financial support and ICT infrastructure to establish AI technology-based library services; and training development plans for library staff. Insights gained from this study should contribute to the capacity of Pakistani University librarians and their staff to maximize the full potential of AI within their institutions. The research implications are helpful to library leaders and policymakers in building a policy for AI-based technology in their respective university libraries.