Latest Articles for Fairness

Examining adversarial attacks and promoting fairness through mixup training.

Learn how to share resources to maximize happiness in various contexts.

Research shows data can improve college admission success rates.

A look at fairness challenges in Federated Learning and the WassFFed framework.

A look at how student preferences impact school matching.

A new system enhances access and fairness in large language model interactions.

This article examines fairness in admissions using machine learning models.

Investigating how biases affect language models and proposing new ways to measure them.

A new approach to ensure fairness in multi-objective decision-making.

Exploring fair division methods for sharing items without envy.

Examining the challenges and biases of LLMs in healthcare applications.

Learn how we can fairly share data like goods.

Exploring fairness in recommender systems for equitable suggestions.

Understanding AI decisions for better trust and reliability.

This article discusses the challenges of maintaining patient privacy and fairness in healthcare technology.

Discover methods for maintaining privacy while ensuring fairness in data science.

Addressing bias in ML models for equitable SUD treatment recommendations.

VariFace uses synthetic data to enhance fairness in facial recognition.

Addressing ethical concerns in AI-driven facial analysis technologies.

Exploring the need for fair AI in image classification.

Learn how input mutation can enhance fairness in machine learning systems.

Exploring methods for fair machine learning through low-rank approximation and subset selection.

Learn how uplift modeling can optimize treatment allocation for better outcomes.

Causally Consistent Normalizing Flows ensure fair outcomes in data modeling.

Explore how Bayesian Federated Learning combines privacy and fairness in data sharing.

Learn how transfer learning improves AI by sharing knowledge across domains.

Examining how fairness shapes choices in games and real-life interactions.

Learn how to share fairly using allocation rules.

Addressing biases in deepfake detection through innovative methods for fairness.

FairREAD boosts fairness in AI medical imaging for all patients.

A study highlights the importance of fairness in language learning predictive models.

Data imbalance in healthcare can lead to unfair predictions and disparities in care.

A new approach to healthcare modeling that prioritizes fairness and accurate patient care.

Ensuring equity in AI systems is essential for responsible technology deployment.