Integrating basic artificial intelligence literacy with media and information literacy in higher education

Abstract

This paper addresses the question of how to introduce basic artificial intelligence (AI) literacy skills to learners in higher education. It proposes that a feasible approach is to integrate AI literacy components into existing media and information literacy (MIL) programmes. The paper discusses elements of intersection between the two literacies, such as search techniques, evaluation, and responsible use of information. The author posits that the MIL curriculum needs to be updated by enhancing the intersecting elements and adding new concepts such as AI algorithm literacy, data literacy, AI ethics, and limitations of AI technologies. The author argues that libraries are best poised to take on the role of delivering basic AI literacy. To this end, MIL frameworks need to be reviewed, and librarians will be required to obtain additional skills through AI courses, workshops, and participation in communities of practice. Pioneering libraries such as the FIU Libraries (comprising the Green Library and Hubert Library) in Florida, US, and Massachusetts Library Systems are demonstrating that libraries have the capacity to deliver basic AI literacy to higher education learners. The author has analysed existing attempts at mapping AI literacy to the ACRL Framework for Information Literacy for Higher Education and built on these initiatives by mapping suggested new AI literacy-related knowledge practices and dispositions to the relevant frames of the framework. The paper concludes by making a clarion call to librarians to rise to the occasion and revamp existing MIL programs to include basic AI literacy.