Latest Articles for Social Justice

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.

Exploring AI's potential to enhance transparency in jury selection and eviction processes.

Examining strategies to reduce new HIV infections in Black and Hispanic/Latino populations.

Investigating the impact of appearance bias in AI systems.

Examining the impact of generative AI on knowledge and marginalized communities.

Examining the importance of fairness in AI systems impacting lives.

Examining public transit access for low-income riders in Greater Boston.

Examining bias in machine learning and its impact on decision-making.

Two new approaches enhance race prediction accuracy in sensitive assessments.

Understanding fair division methods and their importance in society.

Examining health services for vulnerable populations during humanitarian crises.

A new dataset aims to promote fair housing and lending practices.

Examining the balance between income protection and fairness in income distribution.

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

Study reveals performance gaps in RIdV systems across different demographics.

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

Examining how discrimination influences health disparities among racial groups.

Research reveals bias against Hispanic drivers during police traffic encounters.

A new framework aims to uncover biases in role-playing scenarios of language models.

Examining wealth sharing and inequality in society over time.

An overview of fairness learning in AI and its implications across sectors.

How AI can support South Africa's effort for a sustainable future.

This paper addresses the lack of representation of certain groups in data.

Examining Cybersyn’s vision for a fairer economy through AI and historical lessons.

Learn how fair clustering balances group representation in data.