fairness auditing

SCoUT: A Framework for Structured Stereotype Analysis in Language Models AAAI 2026 Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach AAAI 2026 A Diagnostic Framework for Auditing Reference-Free Vision-Language Metrics IJCNLP 2025 ‘Rich Dad, Poor Lad’: How do Large Language Models Contextualize Socioeconomic Factors in College Admission ? EMNLP 2025 Achievable Fairness on Your Data With Utility Guarantees NeurIPS 2024 Auditing Fairness under Unobserved Confounding AISTATS 2024 Statistical Inference for Fairness Auditing JMLR 2024 Auditing Fairness by Betting NeurIPS 2023 Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors NeurIPS 2023 Individually Fair Learning with One-Sided Feedback ICML 2023 Active fairness auditing ICML 2022 Testing Group Fairness via Optimal Transport Projections ICML 2021 Auditing ML Models for Individual Bias and Unfairness AISTATS 2020 Faking Fairness via Stealthily Biased Sampling AAAI 2020 Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness ICML 2018