Fairness

Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN IJCAI 2022 Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection NAACL 2022 CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs UAI 2022 Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI EMNLP 2022 CrossWalk: Fairness-Enhanced Node Representation Learning AAAI 2022 Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding NAACL 2022 DALE: Differential Accumulated Local Effects for efficient and accurate global explanations ACML 2022 Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models ACL 2022 Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data NeurIPS 2022 De-Bias for Generative Extraction in Unified NER Task ACL 2022 DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning EMNLP 2022 Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods MLHC 2022 Debiasing Event Understanding for Visual Commonsense Tasks ACL 2022 Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks COLING 2022 Debiasing Neural Retrieval via In-batch Balancing Regularization NAACL 2022 Debiasing Pre-Trained Language Models via Efficient Fine-Tuning ACL 2022 Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention EMNLP 2022 Debiasing Word Embeddings with Nonlinear Geometry COLING 2022 Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022 Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract) AAAI 2022 Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022 Delivering Fairness in Human Resources AI: Mutual Information to the Rescue AACL 2022 Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique AACL 2022 Design Guidelines for Inclusive Speaker Verification Evaluation Datasets Interspeech 2022 Detecting Unintended Social Bias in Toxic Language Datasets CoNLL 2022