Latest Articles for Bias

A study on biases in representation in biographies from Wikipedia.

A new method enhances labeling accuracy for social science studies using LLMs.

Examining bias and fairness measures in biometric technology performance.

A new method improves speech recognition accuracy for African accents.

Examining the impact of dataset size on harmful content in AI models.

This paper discusses the importance of fairness in automated decision-making systems.

FeedbackMap simplifies the analysis of open-ended survey responses for organizations.

This article explores a benchmark tool for assessing biases in language models.

Using statistical methods to enhance the quality of content moderation reviews.

A new method detects hate speech linked to white supremacy.

Examining the interplay of fairness, privacy, and predictive performance in machine learning.

Review of seroprevalence data reveals vital gaps in measles immunity.

This paper examines biases in word embeddings using a Bayesian approach.

Research compares NLME model approaches for drug effect estimation.

This study examines how biases in language models affect social group perceptions.

Examining how subgroup separability impacts bias in medical imaging models.

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

DBFed aims to reduce bias in AI while maintaining data privacy.

Layer stacking shapes material strength, flexibility, and interactions with light.

Small biases in AI can lead to major unfair outcomes.

Examining biases in AI-driven resume screening and ways to improve fairness.

Exploring the role of PDMP and coupling in improving statistical sampling methods.

This study reveals biases in AI models analyzing disability-related language.

Gender-tuning reduces bias in language models while maintaining performance levels.

This article examines methods to test language models for bias.

This article examines fairness issues in facial recognition technology.

This article investigates the bias in Internet measurement platforms and its implications.

An overview of AI image models, their workings, and societal implications.

A method to enhance linear regression estimates in high-dimensional settings.

Diversity in AI design is vital to prevent bias and promote fairness.

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

Exploring the need for fairness in mobile technology and algorithms.

Exploring the role of AI and data in humanitarian efforts.

A new dataset aims to improve hate speech detection on social media.

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

A new approach to make ranking systems fairer for all groups.

This article reviews LLMs' potential in predicting mental health issues from online text.

A look at the benefits and risks of ChatGPT in various fields.

New method reduces bias in AI classifiers for high-energy physics.

Understanding how individual characteristics influence disease outcomes through modeling.