Gender Bias Detection
5 papers with code • 0 benchmarks • 5 datasets
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Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories
We find that some domains are definitely more prone to gender bias than others, and that the categories of gender bias present also vary for each set of word embeddings.
Measuring biases of vision systems with respect to protected attributes like gender and age is critical as these systems gain widespread use in society.
With the recent expanding attention of machine learning researchers and practitioners to fairness, there is a void of a common framework to analyze and compare the capabilities of proposed models in deep representation learning.
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection
Instead, while logistic regression is fully robust to dataset composition, we find that CNN performance is generally improved for both male and female subjects when including more female subjects in the training dataset.