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Fairness

Papers

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Showing 1801–1850 of 5676 papers

TitleStatusHype
Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence—0
A survey of recent methods for addressing AI fairness and bias in biomedicine—0
Towards Equitable Agile Research and Development of AI and Robotics—0
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review—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
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions—0
Copycats: the many lives of a publicly available medical imaging dataset—0
Fairness of Exposure in Online Restless Multi-armed BanditsCode0
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated LearningCode1
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic BanditsCode0
Prompting Fairness: Artificial Intelligence as Game PlayersCode0
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages—0
Example-based Explanations for Random Forests using Machine Unlearning—0
Probabilistic ML Verification via Weighted Model Integration—0
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
FairWire: Fair Graph Generation—0
Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation—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
GenLens: A Systematic Evaluation of Visual GenAI Model Outputs—0
Disparate Impact on Group Accuracy of Linearization for Private InferenceCode0
TexShape: Information Theoretic Sentence Embedding for Language ModelsCode0
Fairness and Privacy Guarantees in Federated Contextual Bandits—0
Regulation Games for Trustworthy Machine Learning—0
Recommendation Fairness in Social Networks Over Time—0
On the Impact of Output Perturbation on Fairness in Binary Linear Classification—0
Intersectional Two-sided Fairness in RecommendationCode0
Fair Active Ranking from Pairwise Preferences—0
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processingCode0
Counterfactual Fairness Is Not Demographic Parity, and Other Observations—0
Causal Feature Selection for Responsible Machine Learning—0
Verifiable evaluations of machine learning models using zkSNARKsCode0
Large Language Models are Geographically BiasedCode2
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks—0
Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models—0
A Distributionally Robust Optimisation Approach to Fair Credit Scoring—0
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance—0
Federated Unlearning: a Perspective of Stability and Fairness—0
Synthetic Data for the Mitigation of Demographic Biases in Face RecognitionCode0
Supervised Algorithmic Fairness in Distribution Shifts: A Survey—0
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of MinoritiesCode0
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records—0
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender SystemsCode0
Heterophily-Aware Fair Recommendation using Graph Convolutional NetworksCode0
Regularizing Fairness in Optimal Policy Learning with Distributional Targets—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