Responsible AI

disco: a toolkit for Distributional Control of Generative Models ACL 2023 Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era. ACL 2023 Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis CVPR 2023 Emptying the Ocean with a Spoon: Should We Edit Models? EMNLP 2023 Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values ACL 2023 Establishing Trustworthiness: Rethinking Tasks and Model Evaluation EMNLP 2023 Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract) IJCAI 2023 Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers ACL 2023 Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs EMNLP 2023 Evaluating the Diversity, Equity, and Inclusion of NLP Technology: A Case Study for Indian Languages EACL 2023 Evaluating the Moral Beliefs Encoded in LLMs NeurIPS 2023 Evaluating Verifiability in Generative Search Engines EMNLP 2023 Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world ACL 2023 Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course AAAI 2023 Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP EACL 2023 Fairlearn: Assessing and Improving Fairness of AI Systems JMLR 2023 Fairness and Stability in Complex Domains IJCAI 2023 FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023 Fast Model DeBias with Machine Unlearning NeurIPS 2023 “Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English Text EMNLP 2023 Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation EMNLP 2023 Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models ACL 2023 Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023 Foundation Models and Fair Use JMLR 2023 Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI ACL 2023