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Fairness

Papers

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Showing 1751–1800 of 5676 papers

TitleStatusHype
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review—0
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features—0
Blockchain-based Framework for Scalable and Incentivized Federated Learning—0
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior—0
Estimation of Fair Ranking Metrics with Incomplete Judgments—0
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems—0
Ethical AI in Retail: Consumer Privacy and Fairness—0
Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation—0
Towards Fairness-Aware Federated Learning—0
Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice—0
An Exploration of Multicalibration Uniform Convergence Bounds—0
Ethical Considerations for the Military Use of Artificial Intelligence in Visual Reconnaissance—0
Ethical Leadership in the Age of AI Challenges, Opportunities and Framework for Ethical Leadership—0
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction—0
Ethics of AI: A Systematic Literature Review of Principles and Challenges—0
Ethics of Artificial Intelligence in Surgery—0
AI-based traffic analysis in digital twin networks—0
Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs—0
Evaluating AI fairness in credit scoring with the BRIO tool—0
Evaluating AI Group Fairness: a Fuzzy Logic Perspective—0
Bounded Temporal Fairness for FIFO Financial Markets—0
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
MPMA: Preference Manipulation Attack Against Model Context Protocol—0
Contrastive Fairness in Machine Learning—0
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains—0
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors—0
Evaluating Fair Feature Selection in Machine Learning for Healthcare—0
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing—0
Breaking Fair Binary Classification with Optimal Flipping Attacks—0
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data—0
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges—0
Public Perceptions of Fairness Metrics Across Borders—0
Evaluating Fairness Metrics in the Presence of Dataset Bias—0
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—0
Evaluating Gender Bias in Hindi-English Machine Translation—0
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models—0
Evaluating Gender, Racial, and Age Biases in Large Language Models: A Comparative Analysis of Occupational and Crime Scenarios—0
Evaluating how LLM annotations represent diverse views on contentious topics—0
Evaluating LLMs for Gender Disparities in Notable Persons—0
Evaluating Machine Learning-based Skin Cancer Diagnosis—0
Evaluating Proposed Fairness Models for Face Recognition Algorithms—0
Evaluating Search System Explainability with Psychometrics and Crowdsourcing—0
Evaluating Team Skill Aggregation in Online Competitive Games—0
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry—0
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling—0
Evaluating the Fairness Impact of Differentially Private Synthetic Data—0
A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication—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