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Artificial Intelligence and Libraries

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This content is drawn from a report authored by the AU Library's Artificial Intelligence Exploratory Working Group. You can read the groups full report covering the current state of AI and making recommendations to library leadership in the American University Research Archive.

Artificial Intelligence and Information Literacy

As mentioned in the previous chapter, the hope for AI is that it will enable humans to enhance workflows, increase productivity, and accelerate the production and dissemination of knowledge. Within the academy, this hope can translate directly to the research process and augment the tradition of scholarly conversation within and across fields.

As faculty and staff of a higher education institution, we recognize a responsibility not only to learn about AI and its implication for research, but also to teach future generations how to live within the realities of a world with AI. Current and future learners must learn how to recognize high-quality information, understand their personal responsibility to use AI tools and AI-generated information ethically in their school, work, and private lives, and how to mitigate the risks associated with AI. Information Literacy will become increasingly important as our world changes alongside AI.

The current gold standard for teaching Information Literacy within higher education is the Association of College and Research Libraries' Framework for Information Literacy for Higher Education. This section explores how this framework relates to AI and how it can guide recommendations for including AI in Information Literacy instruction. We will explore each frame’s purpose, its implications for AI, and ways to include AI instruction as part of each frame. The section will conclude with overall recommendations for steps the library should take to address information literacy and AI.