Responsible AI

The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation EMNLP 2021 The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color EMNLP 2021 Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models EACL 2021 Towards Fair and Transparent Algorithmic Systems IJCAI 2021 Uncovering Latent Biases in Text: Method and Application to Peer Review AAAI 2021 Unifying Principles and Metrics for Safe and Assistive AI AAAI 2021 Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens EMNLP 2021 Watermarking Deep Neural Networks with Greedy Residuals ICML 2021 What Will it Take to Fix Benchmarking in Natural Language Understanding? NAACL 2021 What Would it Take to get Biomedical QA Systems into Practice? EMNLP 2021 When differential privacy meets NLP: The devil is in the detail EMNLP 2021 You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership NeurIPS 2021 Actionable Ethics through Neural Learning AAAI 2020 A Distributional Framework For Data Valuation ICML 2020 Analyzing Gender Bias within Narrative Tropes EMNLP 2020 A Survey of the State of Explainable AI for Natural Language Processing AACL 2020 Asymptotically Unambitious Artificial General Intelligence AAAI 2020 Automatically Identifying Gender Issues in Machine Translation using Perturbations EMNLP 2020 Automatic Detection of Machine Generated Text: A Critical Survey COLING 2020 AViD Dataset: Anonymized Videos from Diverse Countries NeurIPS 2020 Capturing the Style of Fake News AAAI 2020 Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020 Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration MLHC 2020 CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP 2020 Decolonising Speech and Language Technology COLING 2020