Learning Fair Representations via Rate-Distortion Maximization
AbstractText representations learned by machine learning models often encode undesirable demographic information of the user. Predictive models based on these representations can rely on such information, resulting in biased decisions. We present a novel debiasing technique, Fairness...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2022-01-01
|
| Series: | Transactions of the Association for Computational Linguistics |
| Online Access: | https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00512/113492/Learning-Fair-Representations-via-Rate-Distortion |