Gender Bias Detection

7 papers with code • 0 benchmarks • 5 datasets

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Latest papers with no code

FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values

no code yet • 3 Mar 2023

Algorithmic fairness is of utmost societal importance, yet the current trend in large-scale machine learning models requires training with massive datasets that are frequently biased.

Robots Enact Malignant Stereotypes

no code yet • 23 Jul 2022

Stereotypes, bias, and discrimination have been extensively documented in Machine Learning (ML) methods such as Computer Vision (CV) [18, 80], Natural Language Processing (NLP) [6], or both, in the case of large image and caption models such as OpenAI CLIP [14].

Sparse Interventions in Language Models with Differentiable Masking

no code yet • 13 Dec 2021

Typically, interpretation methods i) do not guarantee that the model actually uses the encoded information, and ii) do not discover small subsets of neurons responsible for a considered phenomenon.

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT

no code yet • 15 Oct 2021

In this paper, we propose a novel gender bias detection method by utilizing attention map for transformer-based models.

Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution

no code yet • ACL (GeBNLP) 2021

We observe an instance of gender-induced bias in a downstream application, despite the absence of explicit gender words in the test cases.