SOTAVerified

Fairness

Papers

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Showing 2101–2125 of 5676 papers

TitleStatusHype
Ethical Leadership in the Age of AI Challenges, Opportunities and Framework for Ethical Leadership—0
Boosting Fairness and Robustness in Over-the-Air Federated Learning—0
Ethical Considerations for the Military Use of Artificial Intelligence in Visual Reconnaissance—0
Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice—0
An Information-Flow Perspective on Algorithmic Fairness—0
An Exploration of Multicalibration Uniform Convergence Bounds—0
Adversarial Reweighting for Speaker Verification Fairness—0
Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation—0
Ethical AI in Retail: Consumer Privacy and Fairness—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Estimation of Fair Ranking Metrics with Incomplete Judgments—0
Blockchain-based Trustworthy Federated Learning Architecture—0
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion—0
Blockchain-based Framework for Scalable and Incentivized Federated Learning—0
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features—0
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors—0
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior—0
An experimental study on fairness-aware machine learning for credit scoring problem—0
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges—0
Error Parity Fairness: Testing for Group Fairness in Regression Tasks—0
Blind Pareto Fairness and Subgroup Robustness—0
Equity of Attention: Amortizing Individual Fairness in Rankings—0
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions—0
An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression—0
Equity Beyond Bias in Language Technologies for Education—0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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