algorithmic fairness

283 papers

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Co-occurring keywords

bias mitigation (492) causal inference (1619) group fairness (158) fairness constraint (124) bias detection (419) machine learning (434) demographic parity (75) fair machine learning (46) counterfactual fairness (39) fair classification (54)

Papers

Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification IJCAI 2025

Fairness Shields: Safeguarding against Biased Decision Makers AAAI 2025

Auditing and Enforcing Conditional Fairness via Optimal Transport AAAI 2025

Fairness-Accuracy Trade-Offs: A Causal Perspective AAAI 2025

A Comprehensive Taxonomy of Bias Mitigation Methods for Hate Speech Detection ACL 2025

Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data COLING 2024

Interactive Human-Centric Bias Mitigation AAAI 2024

Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NIPS 2024

Identifying, Mitigating, and Anticipating Bias in Algorithmic Decisions AAAI 2024

Identifying Reasons for Bias: An Argumentation-Based Approach AAAI 2024

Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method IJCAI 2024

Improving Fairness in Deepfake Detection WACV 2024

FairGT: A Fairness-aware Graph Transformer IJCAI 2024

A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NIPS 2024

Transport-based Counterfactual Models JMLR 2024

ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision WACV 2024

Efficient Data Shapley for Weighted Nearest Neighbor Algorithms AISTATS 2024

Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract) AAAI 2024

Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024

FairJob: A Real-World Dataset for Fairness in Online Systems NIPS 2024

When is Multicalibration Post-Processing Necessary? NIPS 2024

Is this model reliable for everyone? Testing for strong calibration AISTATS 2024

Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks AAAI 2024

An Information-Flow Perspective on Algorithmic Fairness AAAI 2024

Fair Participation via Sequential Policies AAAI 2024