SOTAVerified

Fairness

Papers

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Showing 1801–1825 of 5676 papers

TitleStatusHype
Towards Equitable Agile Research and Development of AI and Robotics—0
Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence—0
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review—0
A survey of recent methods for addressing AI fairness and bias in biomedicine—0
Fairness Evaluation for Uplift Modeling in the Absence of Ground TruthCode2
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty—0
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated LearningCode0
The Bias of Harmful Label Associations in Vision-Language Models—0
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models—0
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation—0
Fairness of Exposure in Online Restless Multi-armed BanditsCode0
Copycats: the many lives of a publicly available medical imaging dataset—0
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions—0
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic BanditsCode0
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated LearningCode1
Prompting Fairness: Artificial Intelligence as Game PlayersCode0
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages—0
Probabilistic ML Verification via Weighted Model Integration—0
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
Example-based Explanations for Random Forests using Machine Unlearning—0
Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation—0
FairWire: Fair Graph Generation—0
Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways—0
Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)—0
Disparate Impact on Group Accuracy of Linearization for Private InferenceCode0
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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