Auditing and Mitigating Bias in Gender Classification Algorithms: A Data-Centric Approach

Tadesse K Bahiru, Natnael Tilahun Sinshaw, Teshager Hailemariam Moges +1

Gender classification systems often inherit and amplify demographic imbalances in their training data. We first audit five widely used gender classification datasets, revealing tha…