Gender Bias Detection
3 papers with code • 0 benchmarks • 3 datasets
These leaderboards are used to track progress in Gender Bias Detection
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.