responsible ai

Whose Opinions Do Language Models Reflect? ICML 2023 WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models ACL 2023 Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models NeurIPS 2022 Directions for NLP Practices Applied to Online Hate Speech Detection EMNLP 2022 Ethics Sheets for AI Tasks ACL 2022 Handling and Presenting Harmful Text in NLP Research EMNLP 2022 Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022 Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models EMNLP 2022 Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset NeurIPS 2022 Pipelines for Social Bias Testing of Large Language Models ACL 2022 Primum Non Nocere: Before working with Indigenous data, the ACL must confront ongoing colonialism ACL 2022 SafeText: A Benchmark for Exploring Physical Safety in Language Models EMNLP 2022 SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems ACL 2022 Should We Ban English NLP for a Year? EMNLP 2022 The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset NeurIPS 2022 The Cycle of Trust and Responsibility in Outsourced AI NAACL 2022 Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models NAACL 2022 A Crash Course on Ethics for Natural Language Processing NAACL 2021 A Survey of Race, Racism, and Anti-Racism in NLP ACL 2021 Case Study: Deontological Ethics in NLP NAACL 2021 Causal Learning for Socially Responsible AI IJCAI 2021 Guiding Principles for Participatory Design-inspired Natural Language Processing ACL 2021 Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database AAAI 2021 Actionable Ethics through Neural Learning AAAI 2020 Deontological Ethics By Monotonicity Shape Constraints AISTATS 2020