Open Educational Resources for literacy in Artificial Intelligence in Higher Education

Abstract

Generative Artificial Intelligence is transforming the ways in which society interacts with information, presenting both opportunities and challenges across various sectors; here, we focus on the academic context and its activities in teaching, research, outreach, and knowledge production. The rapid evolution of these tools raises questions about responsible use and thus necessitates a debate on critical pedagogical training for the entire community involved. In this sense, this abstract explores the possibilities of promoting this critical literacy regarding Generative AIs through open educational resources—materials for teaching and learning distributed under open licenses and frequently available on the web. This is an exploratory study using documentary research that mapped open educational resources indexed in the eduCAPES repository on artificial intelligence in the context of higher education. As a result, 77 resources were found in various formats, most with permissive licenses for access and distribution. In conclusion, the study highlights some limitations regarding usability and indexing in the repository, recommending the creation of collections on the topic to facilitate relevant retrieval, and confirms that OERs can assist the community in promoting AI literacy in higher education, fostering a reflective, transparent, and responsible culture regarding the possibilities of these technologies, without ignoring the need for human supervision and validation in the processes.