Author ORCID Identifier

Daniela Solomon

Document Type

Presentation

Publication Date

2024

Abstract

Library research guides are crucial in enhancing students’ research and information literacy skills. This presentation discusses a study conducted between November 2023 and February 2024, focusing on AI-related library research guides at R1 institutions. Guided by AI Literacy principles and the ACRL Framework for Information Literacy, the study aimed to explore the practical and ethical dimensions of AI Literacy as reflected in these guides through content review and data extraction.

We examine the presence or absence of instructions on creating prompts to interact with language models such as ChatGPT and explore how these guides address human biases (e.g., racial bias) and machine-based biases (e.g., algorithmic transparency). Our presentation showcases empirical findings and lays the groundwork for crafting library guides that critically engage with Generative AI tools and promote information literacy principles.

Library guides have the potential to empower students to grasp the broader societal implications of AI and gain a deeper understanding of its multifaceted role in academia today.

Keywords

artificial intelligence, library guides

Publication Title

GAIL Conference

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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