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Fairness

Papers

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Showing 4351–4400 of 5676 papers

TitleStatusHype
A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks—0
A review of clustering models in educational data science towards fairness-aware learning—0
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning—0
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness—0
A Review of the Ethics of Artificial Intelligence and its Applications in the United States—0
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?—0
Are Word Embedding Methods Stable and Should We Care About It?—0
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems—0
Articulation Work and Tinkering for Fairness in Machine Learning—0
Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout—0
AGI: Artificial General Intelligence for Education—0
Artificial Intelligence-Driven Clinical Decision Support Systems—0
Artificial Intelligence in Government: Why People Feel They Lose Control—0
Artificial Intelligence/Operations Research Workshop 2 Report Out—0
Artificial Intelligence: the global landscape of ethics guidelines—0
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models—0
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms—0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—0
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification—0
A self-contained karma economy for the dynamic allocation of common resources—0
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification—0
A Seven-Layer Model for Standardising AI Fairness Assessment—0
A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM—0
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective—0
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization—0
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers—0
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem—0
A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion—0
A Sociotechnical View of Algorithmic Fairness—0
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems—0
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare—0
Assessing Fairness in the Presence of Missing Data—0
Assessing FAIRness of the Digital Shadow Reference Model—0
Assessing Group Fairness with Social Welfare Optimization—0
Assessing Multilingual Fairness in Pre-trained Multimodal Representations—0
Assessing Perceived Fairness from Machine Learning Developer's Perspective—0
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition—0
Assessing Phenotype Definitions for Algorithmic Fairness—0
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support—0
Assessing Classifier Fairness with Collider Bias—0
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data—0
Assignment Maximization—0
A Stakeholder-Centered View on Fairness in Music Recommender Systems—0
A statistical approach to detect sensitive features in a group fairness setting—0
A Statistical Test for Probabilistic Fairness—0
A Step Toward More Inclusive People Annotations for Fairness—0
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction—0
A structured regression approach for evaluating model performance across intersectional subgroups—0
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning—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