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Fairness

Papers

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Showing 2351–2400 of 5676 papers

TitleStatusHype
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective—0
Explaining Knock-on Effects of Bias Mitigation—0
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?—0
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework—0
FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, ToxicityCode0
A data-science pipeline to enable the Interpretability of Many-Objective Feature SelectionCode0
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning—0
Fair Text-to-Image Diffusion via Fair Mapping—0
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge DistillationCode0
ROBBIE: Robust Bias Evaluation of Large Generative Language Models—0
Utility Fairness in Contextual Dynamic Pricing with Demand Learning—0
Survey on AI Ethics: A Socio-technical Perspective—0
Automated discovery of trade-off between utility, privacy and fairness in machine learning models—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
Leveraging Diffusion Perturbations for Measuring Fairness in Computer VisionCode0
Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence—0
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach—0
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis—0
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning—0
Algorithmic Fairness Generalization under Covariate and Dependence Shifts SimultaneouslyCode0
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment—0
Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications—0
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation—0
Fair Text Classification with Wasserstein IndependenceCode0
Continuous Management of Machine Learning-Based Application BehaviorCode0
Designing Long-term Group Fair Policies in Dynamical Systems—0
Attacks on fairness in Federated LearningCode0
Fair Polylog-Approximate Low-Cost Hierarchical Clustering—0
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on ConvergenceCode0
Fair Enough? A map of the current limitations of the requirements to have fair algorithms—0
Certification of Distributional Individual Fairness—0
Measuring and Mitigating Biases in Motor Insurance Pricing—0
A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?—0
Workforce pDEI: Productivity Coupled with DEI—0
Learning Payment-Free Resource Allocation Mechanisms—0
Causal Fairness-Guided Dataset Reweighting using Neural Networks—0
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads—0
Is Conventional SNN Really Efficient? A Perspective from Network Quantization—0
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning TasksCode0
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their VulnerabilitiesCode0
Enhancing Recommender System Performance by Histogram Equalization—0
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency AnalysisCode0
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models—0
Social Bias Probing: Fairness Benchmarking for Language Models—0
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values—0
Functionality learning through specification instructions—0
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models—0
A Study of Implicit Ranking Unfairness in Large Language ModelsCode0
Creating a Discipline-specific Commons for Infectious Disease Epidemiology—0
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms—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