Bias Detection
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Greatest papers with code
StereoSet: Measuring stereotypical bias in pretrained language models
Since pretrained language models are trained on large real world data, they are known to capture stereotypical biases.
SOTA for Bias Detection on StereoSet
Global explanations for discovering bias in data
We confirmed that the commonplace black frames in the training dataset images have a strong influence on the Convolutional Neural Network's prediction.
Global explanations for discovering bias in data
We confirmed that the commonplace black frames in the training dataset images have a strong influence on the Convolutional Neural Network's prediction.
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.
Towards Detection of Subjective Bias using Contextualized Word Embeddings
Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.