Digital Preservation and Curation of Artificial Intelligence (AI) Generated Contents for Sustainable Library Operations in Academic Libraries in Nigeria

Abstract

The study investigated digital preservation and curation of Artificial Intelligence (AI) generated content for sustainable library operations in university libraries, 3 research questions and 3 hypotheses were used for the study. The population comprised of 193 Librarians from thirteen (13) university libraries in South-South and South-East, Nigeria. The random sampling technique was used to select a sample size of 116 Librarians in the 13 universities representing 60% of the population. A 15-item questionnaire was used for data collection. Cronbach alpha statistics was used to obtain 0.74 reliability. Mean/standard deviation was used for research questions and z-test statistics was used to test the hypotheses at 0.05 level of significance. The result amongst others revealed that, some of the challenges faced by University libraries in the preservation and curation of AL generated content are ethical and bias considerations that deals with fairness, accountability and transparency, legal and intellectual property issues, data privacy and security and more. One of the strategies to preserve and curate AI generated content is the storage of multiple copies of AI-generated content in geographically distributed locations to curb situation that would lead to loss of data due to hardware failures and many others. It was recommended that, government in collaboration with university management should provide necessary infrastructure and facilities, upgrade and update existing ones to enable the preservation and curation of AI generated content for the sustenance of digital library operation in academic libraries.