Responsible AI

Robust and Stable Black Box Explanations ICML 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020 Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research COLING 2020 The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space NeurIPS 2020 The State and Fate of Linguistic Diversity and Inclusion in the NLP World ACL 2020 Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? ACL 2020 Towards Privacy by Design in Learner Corpora Research: A Case of On-the-fly Pseudonymization of Swedish Learner Essays COLING 2020 Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning AAAI 2020 Towards Verified Robustness under Text Deletion Interventions ICLR 2020 Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias EMNLP 2020 UNQOVERing Stereotyping Biases via Underspecified Questions EMNLP 2020 Viable Threat on News Reading: Generating Biased News Using Natural Language Models EMNLP 2020 What Can We Do to Improve Peer Review in NLP? EMNLP 2020 “You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases ACL 2020 A Compliance Checking Framework for DNN Models IJCAI 2019 A Just and Comprehensive Strategy for Using NLP to Address Online Abuse ACL 2019 An Integrative Framework for Artificial Intelligence Education AAAI 2019 A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation ACL 2019 Building Ethically Bounded AI AAAI 2019 Defending Against Neural Fake News NeurIPS 2019 Evaluating adversarial attacks against multiple fact verification systems EMNLP 2019 Feature-Wise Bias Amplification ICLR 2019 Identifying and Reducing Gender Bias in Word-Level Language Models NAACL 2019 KNG: The K-Norm Gradient Mechanism NeurIPS 2019 Label-Noise Robust Generative Adversarial Networks CVPR 2019