Latest Articles for Fairness

A new method balances relevance and fairness in ranking systems.

A new framework tackles fairness challenges in machine learning with limited data samples.

A new approach to childcare allocation addresses family needs and fairness.

Ensuring equitable suggestions in recommendation systems for all users.

Exploring the ethical implications of AI in healthcare and the need for fairness.

This article examines bias in hate speech detection tools and their impact.

Focusing on simplicity can improve software model understanding and effectiveness.

Introducing EOR to improve fairness in ranking systems across diverse candidate groups.

Exploring the need for fairness in personalized recommendation systems.

Examining fairness in singing voice transcription technology across genders.

A study on improving fairness in online recommendations for better user experiences.

A new architecture aimed at enhancing fairness in recommendation processes.

Learn about P2P energy trading and its benefits for consumers and the environment.

A method to address privacy and fairness concerns in machine learning.

Examining biases in mental health evaluation tools and their impact on treatment.

A look into local priority mechanisms for fair resource allocation under constraints.

New method generates balanced datasets for unbiased facial recognition technology.

Research delves into how AI interprets fairness and morality in language.

This research addresses fairness in recommendations, enhancing visibility of cold items.

Examining fairness metrics in grid layouts for recommender systems.

This article discusses a framework for managing privacy in multi-analyst scenarios.

An overview of sharing methods based on preferences.

A new approach to improve signal quality in wireless networks.

Exploring the need for safety and trust in AI systems.

A new method to achieve fairness across multiple sensitive attributes in algorithms.

A call for ethical practices in technology for all backgrounds.

Discover the blend of strategy and quantum mechanics in Quantum Tapsilou.

This study examines how gender affects voice biometrics' utility, privacy, and fairness.

New methods improve fairness amid shifting data distributions.

This article examines the role of fairness regularizers in predictive algorithms.

A look at how to enhance fairness in algorithmic decision-making.

A new method to reduce bias in AI visual recognition systems.

This paper presents a method to improve fairness in federated learning while safeguarding data privacy.

A study evaluates various fairness improvement techniques for deep learning models in image classification.

This paper discusses methods to reduce bias in data analysis.

AdaFed improves fairness in federated learning while maintaining model accuracy.

This article examines fairness issues in AI-based mobile app reviews.

Examining fairness and accuracy in detecting vulnerable road users by autonomous vehicles.

A deep dive into trustworthiness in AI and its importance.

Examining how ML practitioners implement responsible machine learning practices and the challenges they face.