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Fairness

Papers

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Showing 1301–1350 of 5676 papers

TitleStatusHype
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
A Survey on Fairness in Large Language Models—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?—0
Auction-Based Scheduling—0
Data Privacy and Trustworthy Machine Learning—0
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data—0
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization—0
Data Representativeness in Accessibility Datasets: A Meta-Analysis—0
Data Representativity for Machine Learning and AI Systems—0
AI Ethics Needs Good Data—0
Auditing and Achieving Intersectional Fairness in Classification Problems—0
Dataset | Mindset = Explainable AI | Interpretable AI—0
Dataset Representativeness and Downstream Task Fairness—0
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias—0
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution—0
Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing—0
Algorithm Fairness in AI for Medicine and Healthcare—0
Data Trading Combination Auction Mechanism based on the Exponential Mechanism—0
Data vs. Model Machine Learning Fairness Testing: An Empirical Study—0
Counterfactual Explanation for Fairness in Recommendation—0
DBFed: Debiasing Federated Learning Framework based on Domain-Independent—0
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias—0
Dbias: Detecting biases and ensuring Fairness in news articles—0
Auditing Predictive Models for Intersectional Biases—0
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
A Survey on Fairness-aware Recommender Systems—0
Detecting Prefix Bias in LLM-based Reward Models—0
Detection and Mitigation of Bias in Ted Talk Ratings—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications—0
Costs and Benefits of Fair Regression—0
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps—0
De-biased Representation Learning for Fairness with Unreliable Labels—0
Debiasing classifiers: is reality at variance with expectation?—0
A Unified Approach to Fair Online Learning via Blackwell Approachability—0
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model—0
Debiasing Graph Representation Learning based on Information Bottleneck—0
Correlated Equilibria for Approximate Variational Inference in MRFs—0
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—0
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications—0
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation—0
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning—0
Core-Stable Committees under Restricted Domains—0
DECAF: Learning to be Fair in Multi-agent Resource Allocation—0
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—0
DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis—0
Detecting algorithmic bias in medical-AI models using trees—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