Latest Articles for Social Justice

Research reveals harmful stereotypes in language models toward marginalized groups.

A structured approach to creating effective datasets for hate speech analysis.

A study on improving fairness in text classifiers and language models.

Exploring how race is defined in algorithmic fairness research.

An overview of tax systems aimed at reducing economic inequality.

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

A method for fair machine learning that reduces bias in decision-making systems.

Addressing inequalities in ride-hailing through better demand prediction and vehicle allocation.

This article tackles the impact of dialects in NLP technology.

Examining and classifying racist language on Twitter, focusing on Ecuador.

A look at Gini indices and their role in assessing inequality.

A deep dive into trustworthiness in AI and its importance.

Exploring how machine learning impacts fairness in unemployment policies.

Examining the fairness of recommendations made by algorithms after negative outcomes.

A model for fairer vaccine resource allocation to vulnerable populations.

Introducing FairEHR-CLP, a framework for fair and accurate healthcare predictions using EHR data.

Examining how LLMs misrepresent and oversimplify demographic identities in research.

Exploring tools to enhance equity in health care for marginalized groups.

Examining Millikan's contributions to physics and his advocacy for Japanese Americans.

This article investigates gender and racial biases in large vision-language models.

This paper reviews LGBTQ+ representation in HCI research and identifies key gaps.

A look at how to share resources fairly among individuals.

A look into how fairness affects job and opportunity matching.

A new model examines the impact of discrimination on poverty and wealth inequality.

This paper analyzes gender bias in large language models and proposes measurement methods.

A look at fairness preferences across cultures and personal backgrounds.

A look into microaggressions and their effects on marginalized communities.

A dataset to evaluate social biases in Indian language models.

New algorithms ensure fairness and diversity in data selection.

Examining health equity in population genetic screening for better health access.

Introducing randomness can improve fairness in resource distribution decisions.

A focus on diversity and inclusion in mathematics education and practice.

Analyzing fairness in algorithms and its legal implications.

This paper introduces FairGI, a framework for fairness in graph neural networks.

How data feminism can shape fairer AI systems.

Research reveals bias in AI tools used for hiring based on race and gender.

Exploring how absence can inform better algorithmic design and promote equity.

New method improves fairness in COVID-19 case predictions across racial groups.

This article discusses methods to make language model outputs fairer.

AI's role in welfare benefits raises concerns over speed versus accuracy.