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Artificial Intelligence + ACRL Frameworks

This libguide explores the integration of generative AI with the Framework for Information Literacy. It examines authority, information creation, value, research inquiry, and scholarship as conversation in relation to generative AI.

Information Creation as a Process

Information in any format is produced to convey a message and is shared via a selected delivery method. The iterative processes of researching, creating, revising, and disseminating information vary, and the resulting product reflects these differences.

—Framework for Information Literacy for Higher Education, Page 14

Information Creation as a Process: Comparison

How do you get good info?​

Scholarly

Create a search string that links different concepts together with effective descriptions.​

Generative AI

Ask for what you need using concise, logical, and explicit language.​

Be specific: ask for what you want.​

Power search strategy with background info​

Scholarly

Use synonyms to describe our concepts effectively.​

Generative AI

Ask for what you need using concise, logical, and explicit language.​ Be specific: set the scenario.​

How does complexity impact search results?​

Scholarly

Simple searches typically yield more results that are less relevant.​ More complex searches typically yield fewer results that are more relevant.​

Generative AI

Generative AI will compose an answer of roughly the same length no matter how complex the prompt.​

What is produced at the end of a search?​

Scholarly

A set of articles that are subject to the researcher's evaluation is produced.​

Generative AI

A narrative is generated at the end of the search with prompts for additional lines of inquiry.​