algorithmic fairness

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback ACL 2024 Adapting Fairness Interventions to Missing Values NeurIPS 2023 Algorithmics of Egalitarian versus Equitable Sequences of Committees IJCAI 2023 Artificial Intelligence, Bias, and Ethics IJCAI 2023 Assessing and Enforcing Fairness in the AI Lifecycle IJCAI 2023 Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color ICCV 2023 BLIND: Bias Removal With No Demographics ACL 2023 Can We Trust Fair-AI? AAAI 2023 Causal Fairness for Outcome Control NeurIPS 2023 Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection EMNLP 2023 Certification of Distributional Individual Fairness NeurIPS 2023 Certifying Fairness of Probabilistic Circuits AAAI 2023 Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach NeurIPS 2023 Counterfactual Fairness Is Basically Demographic Parity AAAI 2023 Counterfactually Fair Representation NeurIPS 2023 Distribution-Free Statistical Dispersion Control for Societal Applications NeurIPS 2023 Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes NeurIPS 2023 Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023 Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives AAAI 2023 Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations NeurIPS 2023 Fair and Accurate Decision Making through Group-Aware Learning ICML 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023 Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023 Fairlearn: Assessing and Improving Fairness of AI Systems JMLR 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NeurIPS 2023