Answers are grounded in this paper and cite their sources.
This paper reviews existing peer-reviewed literature concerning the application of artificial intelligence (AI) technologies in the context of library cataloging work published since the public release of ChatGPT in 2022. Patterns of analysis in the literature are identified, rigor of investigations assessed, and areas for future work indicated. Existing peer reviewed literature tends to have optimistic-to-positive evaluations of the usefulness and applicability of AI technologies to the creation and maintenance of library metadata, but generally lacks compelling experimental evidence to support its findings. Additional investigation is necessary to establish performance benchmarks for both human and AI-assisted cataloging in order to adequately assess the desirability and efficacy of AI integration into library cataloging.
No takes yet. Share an insight, caveat, or question.
Engel et al. (2025) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: