As AI continues to redefine digital information practices, libraries face new challenges and opportunities in managing, curating, and enhancing the discoverability of resources. This proposal presents two case studies from Goldey-Beacom College that illustrate how libraries can strategically employ AI to enhance both creative and informational collections through metadata improvements.
In the first case study, "From Canvas to Quartex: The Evolution of Art in the Age of AI and Digital Archives," we examine the inaugural Common Reading Program at Goldey-Beacom College. Using the themes in Kristen Radtke's Seek You, students explored loneliness by creating posters, some AI-generated, which were digitally archived in Quartex. This initiative emphasized the importance of metadata standards to ensure both human- and AI-generated art are accessible, accurately categorized, and preserved.
In the second case study, "Enhancing FAQ Systems with Generative AI: A Case Study on Improving Metadata and User Discoverability," we outline how generative AI transformed Goldey-Beacom College Library’s FAQ system, consolidating overly specific metadata into broader, discoverable categories that enhance the user experience.
Together, these case studies provide practical insights and methodologies for leveraging AI in digital collections, underscoring the necessity of evolving metadata frameworks to accommodate both traditional and AI-driven content.
Wednesday February 12, 2025 1:30pm - 2:45pm EST
Laurel AB
