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Benchmarking Intersectional Biases in NLP

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2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
2021A Survey on Bias and Fairness in Machine Learning5,798 cited
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2014Big Data's Disparate Impact3,046 cited
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2018Word embeddings quantify 100 years of gender and ethnic stereotypes1,064 cited
2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,044 cited
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2020Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection286 cited
2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them242 cited
2020Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview233 cited
2019

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Assessing Social and Intersectional Biases in Contextualized Word Representations

133 cited

2022Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts119 cited

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2023Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness47 cited
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2023Fairness in Language Models Beyond English: Gaps and Challenges37 cited
2024Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines33 cited
2023Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning29 cited