Latest Articles for Social Justice

Examining the impact of dialects on language bias detection accuracy.

Study reveals biases in AI hiring recommendations based on candidate names.

A study highlights discrepancies in AI access among ethnic groups.

A look at universal health coverage and its importance in healthcare access.

Exploring techniques for reducing bias in advanced language models.

Examining the link between carbon emissions, happiness, and environmental factors.

New method addresses regional differences in gender bias evaluation.

Fairpriori improves fairness testing in machine learning, focusing on intersectional bias.

Addressing biases in face recognition through balanced training datasets.

Examining the need for fairness in AI and its impact on society.

Tools like OxonFair help ensure fairness in AI decision-making.

Study reveals privacy risks and racial biases in Chicago police broadcasts.

A look into fair division principles and their importance in resource sharing.

Examining the impact of knowledge sharing biases online.

A look at methods to reduce bias in automated decisions using Fair Representation Learning.

This paper discusses methods to reduce bias in AI image and text datasets.

A look into fair resource distribution in housing.

Fair energy transitions require balancing benefits and burdens among communities.

This study focuses on reducing gender bias in AI language models through inclusive language.

Methods to allocate indivisible goods fairly and reduce envy among participants.

Using technology to strengthen community engagement and foster collaboration.

A look at social welfare orders and their impact on society.

This article examines fair allocation of indivisible goods using leveled valuations.

Understanding the impacts of social factors on health during infectious disease outbreaks.

Establishing a benchmark to evaluate fairness in graph learning methods.

A fresh perspective on liberty's role in social debates.

A comprehensive study of 15 years in algorithmic fairness research reveals key trends.

This project aims to identify and reduce bias in language models across European languages.

Examining the challenges faced by older adults in accessing healthcare services.

Examining pelvic health issues faced by Indigenous peoples globally.

A look at housing assistance tools and their impact on racial equity.

Examining biases and fairness in large language models.

Examining how T2Is portray caste identities and reinforce stereotypes.

A study on women's empowerment in relation to sexual and reproductive health in Africa.

A new approach to improve representation of intersectional identities in image search.

A look into income taxation, fairness, and social implications.

A new dataset highlights biases in speech models based on gender and age.

Examining racial factors in health disparities and educational outcomes.

An innovative approach to measure child trafficking in the Philippines.

Exploring the challenges of prioritizing numbers over theoretical insights in linguistics research.