Harnessing Artificial Intelligence for Library Transformation: Trends and Strategic Directions

Arshad Ahmad; Mamoona Akhtar; Muhammad Yousaf Rashid; Naheed Akhter; Dr. Ata ur Rehman

doi:10.63056/ACAD.004.04.1128

Authors

Arshad Ahmad M.Phil Scholar, Department of Library and Information Science, Alhamd Islamic University Author
Mamoona Akhtar M.Phil Scholar, Department of Library and Information Science, Alhamd Islamic University Author
Muhammad Yousaf Rashid M.Phil Scholar, Department of Library and Information Science, Alhamd Islamic University Author
Naheed Akhter M.Phil Scholar, Department of Library and Information Science, Alhamd Islamic University Author
Dr. Ata ur Rehman Assistant Professor / HOD Department of Library and Information Science, Alhamd Islamic University, Islamabad Author

DOI:

https://doi.org/10.63056/ACAD.004.04.1128

Keywords:

Artificial Intelligence, Library Transformation, AI Adoption, Digital Libraries, Librarians’ Readiness, Technological Innovation

Abstract

Background

Artificial Intelligence (AI) is quickly changing the landscape of libraries, improving service provision, automating processes, and aiding in the use of data to make informed decisions. As libraries are transformed into smart and customer-focused platforms, it is becoming more important to learn how librarians feel and how ready they are to implement AI.

Purpose of the Study

The purpose of the study is to investigate awareness levels, actual and perceived benefit, challenges and future trends, and preparedness of librarians with regard to the use of AI in library services.

Methodology

The research design adopted a descriptive quantitative study design, with the use of a structured questionnaire applied on 200 librarians working with both the public and the private academic institutions. Descriptive statistics were employed to analyze data, means, standard deviations, frequencies, and percentages are used.

Results

The results indicate a high awareness and a favorable attitude to the possibility of AI to increase efficiency, accuracy, personalization, and innovation in libraries. Nevertheless, AI tools are not fully implemented. Although plagiarism detection systems are very popular, the application of chatbots, recommendation systems, metadata automation, and AI-based analytics is still low. Some of the major obstacles are lack of proper training, inadequate infrastructure, expensive prices, ambiguous policies, and institutional inadequacy. In spite of these issues, respondents are very prepared and willing to use AI-based solutions.

Conclusion

The paper concludes that librarians are hopeful and willing to adopt AI technologies, but effective adoption needs a well-planned strategic plan, better infrastructure, continuous capacity building, and institutional commitment. Enhancing these spheres will aid in creating smarter, technology-oriented library systems that can take advantage of the power of AI.