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

An External Fairness Evaluation of LinkedIn Talent Search AAAI 2026

AuditAgent: LLM Agent for Risks Auditing in Recommender Systems AAAI 2026

Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents AAAI 2026

A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination AAAI 2026

Fair Domain Generalization: An Information-Theoretic View AAAI 2026

From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions AAAI 2026

Argumentative Debates for Transparent Bias Detection AAAI 2026

Addressing Polarization and Unfairness in Performative Prediction AAAI 2026

FROC: Building Fair ROC from a Trained Classifier AAAI 2025

Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches AAAI 2025

Fairness Shields: Safeguarding against Biased Decision Makers AAAI 2025

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs ACL 2025

Name of Thrones: How Do LLMs Rank Student Names in Status Hierarchies Based on Race and Gender? ACL 2025

R-Fairness: Assessing Fairness of Ranking in Subjective Data ACL 2025

Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning AAAI 2025

Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education NAACL 2025

Precarity and Solidarity: Preliminary Results on a Study of Queer and Disabled Fiction Writers’ Experiences with Generative AI IJCAI 2025

Power(ful) Associations: Rethinking “Stereotype” for NLP ACL 2025

Searching for Unfairness in Algorithms’ Outputs: Novel Tests and Insights AAAI 2025

Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems EMNLP 2025

Auditing and Enforcing Conditional Fairness via Optimal Transport AAAI 2025

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

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data CVPR 2025

FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract) IJCAI 2025

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark CVPR 2025