Latest Articles for Fairness

This study analyzes the fairness of diffusion-based recommendation methods compared to traditional models.

This article discusses fair allocation methods for tasks and jobs using maximin shares.

Exposing the manipulation risks of influence functions in machine learning.

This article discusses fair allocation of items using machine learning techniques.

Research on improving fairness in charitable donations through better tools.

Study reveals how timing and beneficiary influence fairness perceptions during robot interactions.

This article examines bias in TTI systems and the role of embeddings.

This article addresses bias in graphical models and proposes a method for fair analysis.

This paper presents a method to enhance fairness in multi-output machine learning models.

Exploring how emotions and fairness affect financial decisions in game scenarios.

Exploring stakeholder perceptions of fairness in machine learning models amid multiplicity.

A method to measure fairness and uncertainty in decision-making processes.

Examining fairness and bias in social media content recommendations.

Exploring synthetic data's role in promoting fairness in recommendation algorithms.

This paper discusses fairness in selecting candidates for institutions amid biased evaluations.

Two chess giants clash over accusations of fairness in online matches.

This paper investigates fairness in blocking methods for entity matching systems.

A new framework enhances hate speech detection and promotes fairness online.

This article discusses key concerns regarding the reliability of text-to-image models.

This paper evaluates fairness issues in Retrieval-Augmented Generation methods.

Learn how to divide resources fairly and efficiently among individuals.

Examining the importance of fairness in record matching techniques.

A new method aims to reduce bias in language models' predictions.

Learn effective strategies for fair and efficient sharing among friends.

Finding common ground for AI decision-making among diverse human values.

Exploring the difficulty of categorizing tasks while balancing expertise and fairness.

This article discusses fairness issues in Graph Neural Networks and introduces a new method.

A look into achieving fair decisions using submodular functions.

A look at similarity networks to improve fairness in machine learning.

Addressing privacy and fairness in machine learning through innovative methods.

Examining how bias affects language models and their interpretation of offensive language.

Iris recognition systems perform differently based on the color of eyes.

A new approach to fair hiring even with uncertain predictions.

Exploring how AI can align diverse preferences over time.

Being nice helps AI serve humans more effectively.

Examining the challenges and methods of achieving fairness in machine learning.

Researchers tackle bias in language models using a new approach.

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.