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Fair-OBNC: Correcting Label Noise for Fairer Datasets

Autor: Silva, Inês Oliveira e, Jesus, Sérgio, Ferreira, Hugo, Saleiro, Pedro, Sousa, Inês, Bizarro, Pedro, Soares, Carlos

Data used by automated decision-making systems, such as Machine Learning models, often reflects discriminatory behavior that occurred in the past. These biases in the training data are sometimes related to label noise, such as in COMPAS, where more A

Externí odkaz: http://arxiv.org/abs/2410.06214

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