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Fairness

Papers

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Showing 3901–3950 of 5676 papers

TitleStatusHype
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness—0
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with AutomungeCode0
On Guiding Visual Attention with Language Specification—0
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding UnfairnessCode0
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning—0
Bias and unfairness in machine learning models: a systematic literature review—0
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
Modelling multi-cell edge video analytics—0
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers—0
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables—0
Trustworthy Anomaly Detection: A Survey—0
Choosing an algorithmic fairness metric for an online marketplace: Detecting and quantifying algorithmic bias on LinkedIn—0
Fairness Amidst Non-IID Graph Data: A Literature Review—0
Fairness Indicators for Systematic Assessments of Visual Feature Extractors—0
Fairness-aware Configuration of Machine Learning LibrariesCode0
Probabilistic fair behaviors spark its boost in the Ultimatum Game: the strength of good Samaritans—0
Proceedings of the Robust Artificial Intelligence System Assurance (RAISA) Workshop 2022—0
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings—0
Are Fairness Perceptions Shaped by Income Inequality? Evidence from Latin America—0
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers—0
Obtaining Dyadic Fairness by Optimal TransportCode0
An Exploration of Multicalibration Uniform Convergence Bounds—0
Designing Closed Human-in-the-loop Deferral PipelinesCode0
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing InterventionsCode0
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers—0
PrivFair: a Library for Privacy-Preserving Fairness AuditingCode0
Optimal Transport of Classifiers to FairnessCode0
FMP: Toward Fair Graph Message Passing against Topology Bias—0
Fair SA: Sensitivity Analysis for Fairness in Face Recognition—0
Counterfactual Multi-Token Fairness in Text Classification—0
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated RankingsCode0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
Learning fair representation with a parametric integral probability metricCode0
SLIDE: a surrogate fairness constraint to ensure fairness consistencyCode0
Distributionally Robust Fair Principal Components via Geodesic Descents—0
(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna—0
Doing Right by Not Doing Wrong in Human-Robot Collaboration—0
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services—0
Fair Representation Clustering with Several Protected Classes—0
FORML: Learning to Reweight Data for Fairness—0
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcareCode0
Fairness of Machine Learning Algorithms in Demography—0
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings—0
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems—0
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning—0
An Empirical Study of Modular Bias Mitigators and Ensembles—0
Causal Explanations and XAI—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