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Fairness

Papers

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Showing 3801–3825 of 5676 papers

TitleStatusHype
Uncertainty-Aware Fairness-Adaptive Classification Trees—0
Uncertainty-aware predictive modeling for fair data-driven decisions—0
Uncertainty-based Fairness Measures—0
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations—0
Uncovering Bias in Face Generation Models—0
Uncovering Fairness through Data Complexity as an Early Indicator—0
Undergraduate Course Allocation through Competitive Markets—0
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction—0
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics—0
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning—0
Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems—0
Understanding and Mitigating Risks of Generative AI in Financial Services—0
Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks—0
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness—0
Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist—0
Understanding EFX Allocations: Counting and Variants—0
Understanding Fairness in Recommender Systems: A Healthcare Perspective—0
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups—0
Understanding Gender and Racial Disparities in Image Recognition Models—0
Understanding Intrinsic Socioeconomic Biases in Large Language Models—0
Understanding Overfitting in Reweighting Algorithms for Worst-group Performance—0
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization—0
Understanding Prediction Discrepancies in Machine Learning Classifiers—0
Understanding the robustness-accuracy tradeoff by rethinking robust fairness—0
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified