Latest Articles for Bias

Investigating the effects of polarized foregrounds on CMB measurements.

This paper discusses methods to reduce bias in AI image and text datasets.

Learn how importance weighting enhances model performance amid covariate shifts.

Exploring how too many options can complicate decision-making.

An investigation into advocacy influence in medical journal publications during COVID-19.

Exploring the risks and implications of replication in visual diffusion model technology.

Study reveals gender stereotypes in emotional responses of Bangla language models.

This study reveals LLMs' preference for their own output over human-written content.

A study on how stereotypes affect language models using the GlobalBias dataset.

Bayes factors help researchers evaluate and compare hypotheses using data-driven evidence.

A new method improves multi-task learning by aggregating targets and features.

Exploring how machine learning techniques assist in solving inverse problems across various fields.

A critical look at diversity in datasets and how to improve it.

A study on multilingual Facebook posts related to the Israeli War on Gaza.

BiasAlert enhances bias detection in language models for fairer AI outputs.

This article discusses using Reinforcement Learning to reduce bias in classification tasks.

Research presents a framework to reduce bias in AI-generated text.

Examining the need for diversity and inclusion in AI development.

Using external controls can enhance treatment effect estimates in clinical trials.

A robust dataset for training advanced chat-based AI systems.

A new method improves fairness in healthcare data modeling.

Explore various methods for estimating entropy in data analysis.

Understanding how shorter planning horizons improve decision-making with limited information.

A new dataset aims to improve facial recognition accuracy for diverse populations.

Examining the challenges of fairness in AI for medical imaging.

A method to reduce bias in language models by making them forget harmful information.

This article examines how scatterplot sizes affect cluster perception.

Analyzing how training datasets affect AI fairness in skin lesion diagnosis.

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.