Latest Articles for Social Justice

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.

Examining the benefits and pitfalls of inclusion in AI development.

A look at how people perceive income distribution and transfers.

A new approach tackles biases in image-text models effectively.

Examining COVID-19 effects based on wealth and ethnic background in England.

A new method to measure biases in decisions without clear standards.

A look at how language fuels the Black Lives Matter movement.

New methods tackle fairness in dense subgraph discovery.

Investigating fairness issues in LLMs and strategies for improvement.

Mozambique sees progress in HIV services but faces ongoing challenges for key populations.

New methods reveal and reduce bias in language models for fairer outcomes.

A deep look into the complex relationship between poverty and inequality.

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

How telemedicine could improve access to medical cannabis for all.

Discover the evolving role of health advocacy in medical education.

Discover techniques for balancing privacy and fairness in machine learning models.

A new dataset reveals detailed conflict events in the Horn of Africa.