Responsible AI

Modeling Disclosive Transparency in NLP Application Descriptions EMNLP 2021 Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline NAACL 2021 NLP for Consumer Protection: Battling Illegal Clauses in German Terms and Conditions in Online Shopping ACL 2021 On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections ICLR 2021 ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021 On Releasing Annotator-Level Labels and Information in Datasets EMNLP 2021 On the State of Social Media Data for Mental Health Research NAACL 2021 Preregistering NLP research NAACL 2021 Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database AAAI 2021 Privacy Budget Scheduling OSDI 2021 Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels NAACL 2021 Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets NeurIPS 2021 Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness EMNLP 2021 Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing ACL 2021 Reliability Testing for Natural Language Processing Systems ACL 2021 Responsible Prediction Making of COVID-19 Mortality (Student Abstract) AAAI 2021 Ruddit: Norms of Offensiveness for English Reddit Comments ACL 2021 SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes AAAI 2021 Selective Classification Can Magnify Disparities Across Groups ICLR 2021 Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts ACL 2021 Sociolectal Analysis of Pretrained Language Models EMNLP 2021 Statistical inference for individual fairness ICLR 2021 StereoSet: Measuring stereotypical bias in pretrained language models ACL 2021 Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models EACL 2021 Sustainable Modular Debiasing of Language Models EMNLP 2021