SOTAVerified

Fairness

Papers

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Showing 1601–1650 of 5676 papers

TitleStatusHype
To which reference class do you belong? Measuring racial fairness of reference classes with normative modelingCode0
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications—0
Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects—0
Ontology of Belief Diversity: A Community-Based Epistemological Approach—0
Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding Constraints—0
Long-term Fairness in Ride-Hailing Platform—0
Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives—0
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications—0
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning—0
Hidden or Inferred: Fair Learning-To-Rank with Unknown DemographicsCode0
Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges—0
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and FairnessCode0
Articulation Work and Tinkering for Fairness in Machine Learning—0
Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback DelaysCode0
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated LearningCode0
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
Implementing Fairness in AI Classification: The Role of Explainability—0
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution—0
Justified Fairness in House Allocation Problems: two Characterizations of Strategy-proof Mechanisms—0
Score Normalization for Demographic Fairness in Face Recognition—0
AI for All: Identifying AI incidents Related to Diversity and Inclusion—0
Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance—0
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction—0
Synthetic Counterfactual Faces—0
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset—0
Privacy-preserving gradient-based fair federated learning—0
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence—0
Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification—0
The Better Angels of Machine Personality: How Personality Relates to LLM SafetyCode0
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer ProblemsCode0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—0
Are Linear Regression Models White Box and Interpretable?—0
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection—0
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders—0
A Benchmark for Fairness-Aware Graph Learning—0
Balancing the Scales: Reinforcement Learning for Fair ClassificationCode0
Mechanistic interpretability of large language models with applications to the financial services industry—0
A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication—0
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification—0
Toward Automatic Group Membership Annotation for Group Fairness Evaluation—0
Open (Clinical) LLMs are Sensitive to Instruction PhrasingsCode0
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review—0
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias ElicitationCode0
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization—0
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations—0
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers—0
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing—0
Disentangled Representation Learning with the Gromov-Monge Gap—0
High-Precision, Fair University Course Scheduling During a Pandemic—0
Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans—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