Latest Articles for Social Justice

A fresh framework for ensuring fairness in machine learning clustering.

Examining the challenges faced by disabled individuals in accessing cancer treatment.

Examining fairness principles in machine learning to ensure equitable decision-making.

Examining how AI language models reflect biases against marginalized communities.

This study examines gender bias in grammar correction systems and seeks fair solutions.

A look into biases in NLP and their impact on society.

A study on biases in representation in biographies from Wikipedia.

Examining the urgent health care requirements for Dublin's homeless population.

Introducing a new method for fair estimation of treatment effects in various fields.

Examining how race and gender affect medical treatment and language used.

Examining fairness across hiring, healthcare, lending, and renting using simulated data logs.

Examining fairness in AI systems and their impact on decision-making.

Exploring issues and solutions for gig workers' rights and well-being.

A new method detects hate speech linked to white supremacy.

A new method uses NLP to track attacks on human rights defenders.

A study on the healthcare challenges faced by nursing home residents in the Basque Country during the pandemic.

Evaluating how classifiers misinterpret negative emotions in language detection.

Examining gender imbalances in collaboration and leadership within the ballet industry.

This article examines the impact of minimum wage laws on employment and wages.

A new method to improve fairness in federated learning models while maintaining privacy.

Small biases in AI can lead to major unfair outcomes.

A look at how to ensure fair representation in elections.

This article examines the trade-off between fairness and overall satisfaction in resource division.

Examining the complexities of fairness in AI systems and their real-world impacts.

Exploring the essentials of fair division in daily resource distribution.

This article discusses bias in machine learning and its impacts on minority groups.

Exploring the need for fairness in mobile technology and algorithms.

This article highlights the role of reasoning in identifying biases within language models.

Exploring fair allocation methods using Maximin Share principles.

A new framework enhances fairness in algorithms using uncertain demographic information.

A look at wealth distribution and its impact on society and the environment.

Investigating fairness in ML systems considering multiple protected attributes.

Addressing fairness in machine learning to ensure equal treatment for all groups.

Examining how biases in AI affect job suggestions for different groups.

This article examines how mathematics can promote fairness in the mathematics community.

New methods improve race prediction accuracy using names and locations.

Examining the interconnectedness of human, animal, and environmental health.

A novel approach to ensure fair predictions in urban mobility analysis.

Examining childhood trauma experiences of sexual and gender minorities in Haiti.

Examining the effects of raising tobacco sales age on youth smoking.