Fairness

Measuring Presence of Women and Men as Information Sources in News COLING 2022 Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract)* IJCAI 2022 Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability ALT 2022 Metric-Fair Active Learning ICML 2022 Metric-Fair Classifier Derandomization ICML 2022 Mind the data gap(s): Investigating power in speech and language datasets ACL 2022 Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models EMNLP 2022 Mitigating bias against non-native accents Interspeech 2022 Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal ACL 2022 Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model ICML 2022 Mitigating Gender Stereotypes in Hindi and Marathi NAACL 2022 Mitigating Learnerese Effects for CEFR Classification NAACL 2022 Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference EMNLP 2022 Model Agnostic Interpretability for Multiple Instance Learning ICLR 2022 Modification-Fair Cluster Editing AAAI 2022 MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation EMNLP 2022 MUTE: A Multimodal Dataset for Detecting Hateful Memes AACL 2022 Natural Language Descriptions of Deep Visual Features ICLR 2022 Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022 No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media EMNLP 2022 Occupational Biases in Norwegian and Multilingual Language Models NAACL 2022 On Black-Box Explanation for Face Verification WACV 2022 On Coresets for Fair Regression and Individually Fair Clustering AISTATS 2022 On-Demand Sampling: Learning Optimally from Multiple Distributions NeurIPS 2022 On Distributionally Robust Optimization and Data Rebalancing AISTATS 2022