From Bias to Transparency : Ethical Imperatives in AI-Based Library Cataloging

Abstract

In today's digital age, the need for a cohesive system to organize global knowledge is evident. Universal bibliographic control, long a scholarly interest, faces challenges due to diverse cultural perspectives. This article proposes an innovative approach, using AI and linked subject indexing, to create standardized cataloging. The approach integrates diverse local classifications into a unified knowledge graph through AI, celebrating cultural diversity. Ethical considerations address bias and fair representation. This interconnected system benefits researchers, librarians, and users by promoting cross-cultural knowledge sharing, fostering collaboration, and enriching our understanding while preserving cultural uniqueness.