Adoption Potential of Artificial Intelligence and Machine Learning in Islamabad’s Academic Libraries

Abstract

This research intends to determine the preparedness of academic libraries of Islamabad with respect to the adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies, looking especially into the awareness, attitude, and infrastructure of the library professionals concerning these technologies. The research employs a quantitative design and gathered data using a structured questionnaire from a sample of 250 university librarians within Islamabad. The questionnaire incorporated items relating to the participants’ awareness of AI/ML, their access to technological infrastructure, and the barriers to the adoption of AI/ML. The data were processed using SPSS-29, and for presenting the findings, tables were used with descriptive statistics and frequency distribution. The outcomes of the study indicate that while librarians have some general knowledge of AI/ML technologies, their specific applicability to the running of libraries is poorly understood. Readiness of infrastructure differs from one library to another; a good number of them do not have supporting IT infrastructure and personnel for full integration. There is, however, a positive attitude towards AI/ML adoption, with respondents claiming they were willing to be trained and actively support the adoption of AI/ML in their institutions. This study adds to the growing literature on the adoption of AI and ML in developing countries like Pakistan. The study highlights challenges and prospects AI/ML technology offers to academic libraries, along with suggestions to address identified problems. These findings assist the administration and policy makers in understanding how to equip libraries in advance for the evolving transformation of library services.

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