Responsible AI

Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts MLHC 2020 Defining Explanation in an AI Context EMNLP 2020 Deontological Ethics By Monotonicity Shape Constraints AISTATS 2020 Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News EMNLP 2020 Detection and Resolution of Rumors and Misinformation with NLP COLING 2020 Fairness Evaluation in Presence of Biased Noisy Labels AISTATS 2020 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training ICML 2020 Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL 2020 Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? ACL 2020 How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study EMNLP 2020 Identifying Statistical Bias in Dataset Replication ICML 2020 Integrating Ethics into the NLP Curriculum ACL 2020 Introducing the VoicePrivacy Initiative Interspeech 2020 Language (Technology) is Power: A Critical Survey of “Bias” in NLP ACL 2020 Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models IJCAI 2020 Model-Agnostic Counterfactual Explanations for Consequential Decisions AISTATS 2020 Moderating Our (Dis)Content: Renewing the Regulatory Approach EMNLP 2020 Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations COLING 2020 Natural Language Processing for Achieving Sustainable Development: the Case of Neural Labelling to Enhance Community Profiling EMNLP 2020 Obfuscation via Information Density Estimation AISTATS 2020 Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020 EMNLP 2020 Optimal Differential Privacy Composition for Exponential Mechanisms ICML 2020 PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction EMNLP 2020 RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models EMNLP 2020 Reviewing Natural Language Processing Research ACL 2020