SOTAVerified

Fairness

Papers

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Showing 4376–4400 of 5676 papers

TitleStatusHype
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers—0
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem—0
A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion—0
A Sociotechnical View of Algorithmic Fairness—0
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems—0
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare—0
Assessing Fairness in the Presence of Missing Data—0
Assessing FAIRness of the Digital Shadow Reference Model—0
Assessing Group Fairness with Social Welfare Optimization—0
Assessing Multilingual Fairness in Pre-trained Multimodal Representations—0
Assessing Perceived Fairness from Machine Learning Developer's Perspective—0
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition—0
Assessing Phenotype Definitions for Algorithmic Fairness—0
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support—0
Assessing Classifier Fairness with Collider Bias—0
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data—0
Assignment Maximization—0
A Stakeholder-Centered View on Fairness in Music Recommender Systems—0
A statistical approach to detect sensitive features in a group fairness setting—0
A Statistical Test for Probabilistic Fairness—0
A Step Toward More Inclusive People Annotations for Fairness—0
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction—0
A structured regression approach for evaluating model performance across intersectional subgroups—0
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning—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