Artificial Intelligence in Special Libraries in Africa for Selective Dissemination of Information: Any Need?

The study applied a descriptive survey design with a sampled population of 48 special librarians selected through purposive sampling techniques from 24 special libraries in Africa. The study was guided by four research objectives. The main instrument used for data collection was a 4 point scaled questionnaires scaled in that 1 = “strongly disagree” and 4 = “strongly agree”. The instrument was validated by three experts in measurement and evaluation from Nnamdi Azikiwe University, Awka, Nigeria and further subjected to internal consistency test using Cronbach’s alpha. Result was coefficient α=.80 showing that the instrument was reliable. Data administration and collection were digitally done via email with a link to the online surveys. Included in the email, was a brief statement about the purpose of the study and information regarding ethical considerations. The questionnaires were completed and returned 100%. Data collected were analyzed through descriptive statistics using frequencies, percentiles and statistical mean. The outcome of the study did reveal among other things that there is need for AI to be used for SDI in special libraries in Africa and that there ways special libraries in Africa can leverage AI to enhance the SDI services. Based on the findings, recommendations were made which include that inasmuch as AI can enhance SDI in special libraries in Africa, special librarians and staff of special libraries in Africa must also be mindful of the ethical implications of using AI in SDI service delivery and take steps to protect the privacy and ownership of data and that special libraries should proceed with caution and consider its potential negative impact. By being mindful of these concerns and taking steps to mitigate them by ensuring that AI is used in a responsible and ethical manner that benefits both the library and users as well as that special libraries in Africa should come together to establish African Special Libraries consortium (ASLc) with which they can bargain collectively and aggressively reduced costs for the libraries access to AI technology, share their thoughts and experiences in the utilization of AI technology in general service and SDI in particular as well as exchange of ideas and skills.