Latest Articles for Biases

Understanding infer-and-widen and split-and-condition for improved statistical conclusions.

This article discusses a new rating system for evaluating language models more fairly.

Addressing biases in chatbots through regular audits to align with societal values.

This study assesses ChatGPT's ability to simulate demographic and attitudinal data.

Learn how sampling dates impact our understanding of virus and bacteria spread.

A method improving CNN focus on key image areas for better decision-making.

Study reveals performance gaps in RIdV systems across different demographics.

An overview of how groups make choices collectively.

This method allows language models to consider alternative outcomes in text generation.

A framework to identify and reduce biases in visual data for AI models.

A look at how RL agents learn and make choices in mazes.

Examining how clear algorithms affect forecast accuracy and user satisfaction.

A new framework aims to uncover biases in role-playing scenarios of language models.

This article discusses the relationship between steering vectors and sparse autoencoders in AI.

Exploring how AI can help reduce bias in college admissions.

Research method improves responses in models by reducing bias in sensitive topics.

Large language models reflect societal biases, impacting important decisions.

Researchers are improving word models to reduce gender bias in language processing.

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

A look into how galaxies are studied through the Marked Power Spectrum.

This article discusses the importance of diversity in AI-generated images.

Exploring if AI aligns with diverse cultural moral standards.

A study on word associations reveals bias in AI and human cognition.

ACE technology boosts trust in automated plant disease prediction systems.

Researchers tackle biases in language models for Filipino, enhancing cultural relevance.

New methods improve grammar correction through detailed feedback and insights.

New framework enhances training of generative models, reducing biases and improving outputs.

FairREAD boosts fairness in AI medical imaging for all patients.

Explore how biases in multimodal models impact decision-making across various fields.