Poster
AI and Metadata: Bridging the Gap between Digital Images and Human Understanding
Download PDF Read OnlineAbstract
As digital collections continue to grow, artificial intelligence (AI) tools have been used to generate titles, descriptions, and keywords for digital collections in libraries. This poster explores whether four AI models (Claude, Gemini, Copilot, and ChatGPT 4.0), can effectively provide descriptive titles, and whether librarians and archivists can bridge the gap between digital images and human understanding, enhancing metadata quality and usability. This poster also showcases each tool’s prospects for AI-driven metadata for title generation, highlighting the transformative potential of AI within digital collections.
Author information
Cite this article
Morgan, M. (2024). AI and Metadata: Bridging the Gap between Digital Images and Human Understanding. International Conference on Dublin Core and Metadata Applications, 2024. https://doi.org/10.23106/dcmi.952471681
DOI : 10.23106/dcmi.952471681
Published
Metadata and citations of this article is published under the Creative Commons Zero
Universal Public Domain Dedication (CC0), allowing unrestricted reuse. Anyone can freely
use the metadata from DCPapers articles for any purpose without limitations.
This article full-text is published under the Creative Commons Attribution 4.0
International License (CC BY 4.0). This license allows use, sharing, adaptation,
distribution, and reproduction in any medium or format, provided that appropriate credit
is given to the original author(s) and the source is cited.