Document Type
Conference Proceeding
Publication Date
Fall 11-19-2025
Abstract
Generative artificial intelligence poses a new challenge to the teaching of source evaluation. This presentation looks at these challenges and examines why the evaluation heuristics and methods that librarians commonly use to teach source evaluation may not be up to the challenge of evaluating artificial intelligence output. This study looked at LibGuides from a random selection of ARL libraries to examine how (and if) libraries are recommending that students evaluate the output of the generative artificial intelligence tools they are using. This presentation offers suggestions for teaching source evaluation for artificial intelligence tools.
Recommended Citation
Duncan, S. A. (Presenter), Faix, A. I. (Presenter), "Critically evaluating Artificial Intelligence output: adapting source evaluation for AI," LOEX Fall Focus 2025, LOEX, Virtual, Ypsilanti, MI, United States. (November 19, 2025).
Comments
Presented Wednesday November 19th, 2025 at 11:30 am EST at the virtual LOEX Fall Focus 2025 conference.