Latest Articles for Social Justice

AI helps identify and reduce biases in medical teaching materials for fairer healthcare outcomes.

A look at how comparators help in identifying algorithmic discrimination.

This study evaluates bias measurement methods using GPT-3.5-Turbo for antisemitism detection.

A new web application aids reintegration for those released from prison.

This article discusses the importance of data practices for fairness in machine learning.

This study analyzes how past choices reveal decision-makers' social welfare functions.

A study on the social impacts of HIV research participation among SGE individuals.

This article examines the role of community participation in developing AI systems.

A new method for measuring energy burden highlights electricity pricing disparities.

Examining ongoing health inequities and strategies for meaningful change.

A practical method to improve fairness in algorithms without sacrificing accuracy.

This article examines how AI can impact marginalized groups and ways to improve outcomes.

A new method reveals deeper insights into the wealth gap between racial groups.

Examining how structural changes can improve fairness in mortgage loan approvals.

This study addresses fairness in AI credit scoring and its social implications.

A new method combines strategies to improve fairness in crime predictions.

A new approach to measuring fairness in college admissions and credit assessments.

Analyzing prediction accuracy across different communities for equitable health resource allocation.

Research shows how demographics shape fairness views in AI content moderation.

A new tool aims to improve transportation for women seeking abortion services.

Addressing bias in algorithms to promote fairness across various sectors.

Fair datasets are crucial for unbiased machine learning models.

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.