Latest Articles for Biases

A new method enhances object classification accuracy using multiple representations.

Examining the risks and governance of Claude, an AI chatbot by Anthropic.

A look at how dataset size impacts AI biases in race and gender classification.

Research reveals bias in AI tools used for hiring based on race and gender.

This study reveals how biases shape our belief updates.

A look at how media shapes perceptions of race and gender.

Examining how biases in EHRs affect healthcare outcomes.

Examining the barriers to idea sharing in international scientific communities.

New method improves fairness in COVID-19 case predictions across racial groups.

A new approach to ensure fairness in algorithmic decision-making processes.

A new method aims to address bias in language model outputs.

MedFuzz evaluates LLMs' responses to challenging medical questions.

This study highlights the significance of the Neural Tangent Kernel in training neural networks.

Highlighting the need for fairness in mental health speech datasets.

Examining Twitter polls and their influence on U.S. presidential elections.

A look into the challenges and improvements in AI model performance.

This study enhances text classification accuracy using a new framework for LLMs.

Examining how our beliefs about others impact mental health and relationships.

This study examines biases in AI models during hate speech data labeling.

A look into injectivity challenges and methods in ReLU layers within neural networks.

A new method enhances accuracy in question-answering for black-box language models.

This article reviews a study on reducing biases in multilingual language models.

Research reveals overlooked biases in visual and textual AI models.

A new method analyzes how different factors impact decision-making fairness.

Examining how language influences gender views through biases in AI models.

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.