Latest Articles for Bias

Learn how anomaly detection can reduce bias in machine learning.

An app that highlights language bias in news articles and gathers reader feedback.

A review of methods to improve causal inference using RCTs and RWD.

Evaluating machine learning models to ensure fairness across diverse populations.

A look at model evaluation methods and their effectiveness.

Examining AI's role in education, its advantages, and the biases it may introduce.

This project aims to identify and reduce bias in language models across European languages.

Learn how missForestPredict enhances the handling of missing data in predictions.

Examining how AI impacts healthcare and the importance of fairness.

Examining the FairJob dataset to ensure equal job opportunities for all.

Examining how AI tools may reinforce biases in resume screening.

This article examines race bias in AI-based cardiac imaging and proposes solutions.

Examining the impact and risks of large language models on society.

Exploring the role and challenges of LLMs in knowledge engineering.

Safety features in AI systems are vital for responsible use and ethics.

ML-EAT offers a structured approach to uncovering bias in language technologies.

This study highlights a new method to fine-tune language models effectively.

A look at bias and fairness in computer vision technology.

A new approach to improve representation of intersectional identities in image search.

Examining how first names influence decision-making in AI models.

This article discusses how to create fair voting systems for decision-making groups.

A new dataset highlights biases in speech models based on gender and age.

Assessing biases in machine learning can lead to fairer outcomes for all.

New methods improve accuracy of BAO scale measurements and enhance cosmic understanding.

A new method to improve predictions by handling biased data.

A data-driven method enhances confidence estimates in high-dimensional regression scenarios.

Study evaluates AI's accuracy in identifying neurosurgery study designs.

Understanding algorithms' role in ethical AI decision-making.

A study on bias detection in NLP models and its implications.

A new system combines AI and web searches to detect misinformation more effectively.

Exploring AI's potential to enhance transparency in jury selection and eviction processes.

Analyzing how language models handle social biases in opinions.

This article examines how format bias affects language model performance and suggests improvement strategies.

REFINE-LM uses reinforcement learning to mitigate bias in language models effectively.

This article discusses improving SAA with Multilevel Monte Carlo method to handle bias.

A new method reduces biases in image and text models effectively.

This article examines bias in language models and strategies to reduce it.

Assessing deep learning models for practical use is crucial for safety and reliability.

A new method to generate unbiased synthetic data for AI applications.

Exploring benefits and ethical challenges of Generative AI in coding.