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Fairness

3337 directly classified papers

Papers per year

Papers

Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning MLHC 2022
How fair is your graph? Exploring fairness concerns in neuroimaging studies MLHC 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection ACL 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness AAAI 2022
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ACL 2022
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values AAAI 2022
Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning NIPS 2022
Disambiguation of morpho-syntactic features of African American English – the case of habitual be ACL 2022
Roadblocks in Gender Bias Measurement for Diachronic Corpora ACL 2022
BBQ: A hand-built bias benchmark for question answering ACL 2022
Systematic Inequalities in Language Technology Performance across the World’s Languages ACL 2022
Investigating Failures of Automatic Translationin the Case of Unambiguous Gender ACL 2022
Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings ACL 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods MLHC 2022
Conformalized Fairness via Quantile Regression NIPS 2022
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations ACML 2022
Metric-Fair Classifier Derandomization ICML 2022
Robust Counterfactual Explanations for Tree-Based Ensembles ICML 2022
Is NLP Ready for Standardization? EMNLP 2022
Learning Fair Classifiers With Partially Annotated Group Labels CVPR 2022
Selection, Ignorability and Challenges With Causal Fairness CLEAR 2022
Causal Explanations and XAI CLEAR 2022
Optimal Training of Fair Predictive Models CLEAR 2022
Simple data balancing achieves competitive worst-group-accuracy CLEAR 2022
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings ACL 2022