An analysis of poet demographic and thematic diversity in a poetry collection for inclusive AI

• Published in: Information research Vol. 30; no. iConf; pp. 610 - 617
• Main Authors: Choi, Kahyun, Kang, Gyuri
• Format: Journal Article
• Language: English
• Published: University of Borås 11.03.2025
• Subjects: dataset evaluation; Digital library; natural language processing; poetry; responsible AI

Introduction. AI technologies, such as theme classification and named entity recognition, enhance digital library accessibility. However, they may introduce biases if training datasets lack adequate representation. For instance, prior AI models for poetry classification overlooked dataset diversity,...