An analysis of poet demographic and thematic diversity in a poetry collection for inclusive 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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Borås
2025-03-01
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| Series: | Information Research: An International Electronic Journal |
| Subjects: | |
| Online Access: | https://publicera.kb.se/ir/article/view/47263 |
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