Bounded Degradation in Latent Representation Under Bias Subspace Removal
This work investigates the concentration of demo- graphic signals in high-dimensional embeddings, focusing on a “bias subspace” that encodes sensitive at- tributes such as gender. Experiments on textual job biographies reveal that a single vector—derived by subtracting subgroup means—can correlate...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2025-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/139018 |
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