SOTAVerified

Fairness

Papers

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Showing 976–1000 of 5676 papers

TitleStatusHype
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks—0
Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System—0
Auto-Drafting Police Reports from Noisy ASR Outputs: A Trust-Centered LLM Approach—0
Coarse Set Theory for AI Ethics and Decision-Making: A Mathematical Framework for Granular Evaluations—0
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information AsymmetryCode0
Contextual Thompson Sampling via Generation of Missing Data—0
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures—0
Intelligent Reconfigurable Optical Wireless Ether—0
Comprehensive Framework for Evaluating Conversational AI Chatbots—0
Finding Words Associated with DIF: Predicting Differential Item Functioning using LLMs and Explainable AI—0
Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models—0
Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain—0
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related QueriesCode0
A Hybrid Tabu Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling—0
Vision-Ultrasound Robotic System based on Deep Learning for Gas and Arc Hazard Detection in Manufacturing—0
Impartial utilitarianism on infinite utility streams—0
A Tutorial On Intersectionality in Fair Rankings—0
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection—0
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach—0
Building A Unified AI-centric Language System: analysis, framework and future work—0
DECAF: Learning to be Fair in Multi-agent Resource Allocation—0
Fairness Aware Reinforcement Learning via Proximal Policy Optimization—0
Targeted Learning for Data Fairness—0
Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks—0
Multi-objective methods in Federated Learning: A survey and taxonomy—0
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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