Poster

AI and Metadata: Bridging the Gap between Digital Images and Human Understanding

Download PDF Read Online
Abstract

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

Marina Morgan
Florida Southern College, United States

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

CC-0 Logo 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.
CC-BY Logo 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.