Papers with occupation classification tasks
BLIND: Bias Removal With No Demographics (2023.acl-long)
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| Challenge: | Numerous methods to mitigate social biases require prior knowledge of the demographics in the dataset, such as gender or race. |
| Approach: | They propose a method for bias removal without prior knowledge of demographics in the dataset. |
| Outcome: | Experiments with racial and gender biases in sentiment classification and occupation classification tasks show that BLIND mitigates biase . BLINT is competitive with methods that require demographic information and sometimes surpasses them. |