LibGuides: AI in the Library: Inaccuracies/Hallucinations

Peer-Reviewed Articles

AI hallucination: towards a comprehensive classification of distorted information in artificial intelligence-generated content
This study aims to systematically categorize distorted information within AIGC, delve into its internal characteristics, and provide theoretical guidance for its management.
Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References
Out of the 178 [ChatGPT-generated] references analyzed, 69 references did not have a Digital Object Identifier (DOI), and 28 references neither turned up on Google search nor had an existing DOI. Three references were listed from books and not research articles. These observations suggest that ChatGPT's ability to generate reliable references for research topics may be limited by the availability of DOI and the accessibility of online articles.
Generative Artificial Intelligence and Misinformation Acceptance: An Experimental Test of the Effect of Forewarning About Artificial Intelligence Hallucination
An online experiment with 208 Korean adults demonstrated that AI hallucination forewarning reduced misinformation acceptance...while forewarning did not reduce acceptance of true information...