Latest Articles for Biases

Examining biases in AI depictions of Indian culture.

Examining performance disparities in machine learning for retinal images and hypertension detection.

Language models can enhance the quality of medical studies using real-world data.

Research shows past experiences deeply influence how we perceive sensory information.

A look at semantic leakage and its impact on language model outputs.

New sampling methods aim to enhance accuracy and fairness in data collection processes.

Research reveals inherent tendencies in language models using diverse personas.

This study examines how biases affect language model responses and proposes solutions.

Exploring how LLMs can impact patient care and healthcare data analysis.

An analysis of LLMs and their differences from human language acquisition.

This article examines how well language models reflect human political beliefs and morality.

A new method enhances asteroid size estimations through better brightness measurements.

This study examines how surface wave data reflects water current behavior and biases.

AI chatbots improve accuracy in diagnosing depression through advanced data analysis.

A new method to assess and compare the knowledge of language models.

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.