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Artificial Intelligence (AI) is not a new technology, as many industries have been using it for years. Recently, it has become a more available asset to university students and faculty. Due to this interest, guidelines and practices are being established in universities and academic libraries on how best to use AI. This paper covers some of the challenges currently facing academia when it comes to AI and the various ways AI can benefit academic libraries in teaching, collection services, and aspects of accessibility. [ABSTRACT FROM AUTHOR]

The role of libraries in preparing students to thrive during their studies and innovate after university is growing in importance. Information is more easily accessible through digital channels and is increasingly abundant. Generative Artificial intelligence (AI) adds to this reality and increases the need for digitally driven information literacy skills. This paper aims to guide librarians by discussing the digitalization of information creation, retrieval, and use. It recommends the training of both digital and information literacy for students. Librarians are called upon to provide clear guidelines to their universities to steer the use of generative AI. The implications of digital information sources and generative AI are discussed with the role of librarians in context. Information literacy and digital literacy are related. Academic libraries should include digital topics in information literacy training. Information literacy should be trained at the start of university education and before students begin dissertation writing. University libraries should propose guidelines for the use of generative artificial intelligence tools by students. [ABSTRACT FROM AUTHOR]