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

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.