Fairness

Attending the Emotions to Detect Online Abusive Language EMNLP 2020 Auditing ML Models for Individual Bias and Unfairness AISTATS 2020 Automatically Identifying Gender Issues in Machine Translation using Perturbations EMNLP 2020 AViD Dataset: Anonymized Videos from Diverse Countries NeurIPS 2020 Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning ICML 2020 Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours AAAI 2020 Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL 2020 Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency NeurIPS 2020 Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NeurIPS 2020 Bounding the fairness and accuracy of classifiers from population statistics ICML 2020 BullStop: A Mobile App for Cyberbullying Prevention COLING 2020 Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020 Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings COLING 2020 Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference NeurIPS 2020 Causal Modeling for Fairness In Dynamical Systems ICML 2020 Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing ICML 2020 Collaborative Machine Learning with Incentive-Aware Model Rewards ICML 2020 Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets EMNLP 2020 Conditional Learning of Fair Representations ICLR 2020 Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL 2020 Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020 Countering hate on social media: Large scale classification of hate and counter speech EMNLP 2020 Crossing the Line: Where do Demographic Variables Fit into Humor Detection? ACL 2020 CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP 2020