Tutorial: Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned (KDD 2019)

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Fairness-Aware Ranking in Search \u0026 Recommendation Systems

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Learning Fairness aware Relational Structures

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Fairness-Aware Data Valuation for Supervised Learning (Fair Machine Learning)

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Introduction to Algorithm Fairness | Causes, Measuring \u0026 Preventing Unfairness in Machine Learning

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Algorithmic Bias and Fairness: Crash Course AI #18

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Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds \u0026 Disparate Impact

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Fairness-aware Model-agnostic Positive and Unlabeled Learning

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Defending Due Process Why Fairness Matters in a Polarized World

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Social Norm Bias: Residual Harms of Fairness-Aware Algorithms

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[AUTOML24] Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML

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Fairness-aware Model-agnostic Positive and Unlabeled Learning

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Fairness Aware Online Learning Over Networks

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Michael Kearns: “Fairness” in Machine Learning

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Fairness-aware Vision Transformer via Debiased Self-Attention (ECCV24)

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Algorithmic Bias: From Discrimination Discovery to Fairness-Aware Data Mining (Part 1)

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Fairness Aware Task Offloading and Load Balancing with Delay Constraints for Power IoT

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Hairmony: Fairness-aware hairstyle classification

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KDD 2023 - Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks

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