Latest Articles for Bias

Examining the effects of machine learning systems on human behavior and fairness.

A new method for evaluating AI's effectiveness in healthcare settings.

Examining how technology impacts mental health fairness and bias.

This article discusses the impact of LLMs on e-commerce fairness.

This article discusses methods to make language model outputs fairer.

A fresh method to assess bias in datasets for fairer decision-making.

AI helps identify and reduce biases in medical teaching materials for fairer healthcare outcomes.

Study reveals potential biases in AI decision-making for police intervention.

Examining fairness and ethics of how language models respond to users.

This study evaluates bias measurement methods using GPT-3.5-Turbo for antisemitism detection.

Examining how diverse investor beliefs impact welfare in trading.

Synthetic data offers promising solutions to challenges in medical imaging.

A look into bias challenges and new strategies in machine learning.

This study evaluates ASR systems' performance with individuals who stutter.

AI and ML transform how students are assessed in science education.

A new method improves the comparison of observational studies and randomized trials.

This study examines how bias affects belief changes in various fields.

This article examines how Machine Learning estimates treatment effects in ant behavior studies.

Examining the biases in language models across various demographic factors.

This article examines the role of community participation in developing AI systems.

A comprehensive review of adaptive clinical trials and bias evaluation tools.

A new method enhances language models by focusing on user preferences.

This method improves model accuracy by addressing biases in physical phenomena.

Examining the potential and challenges of AI in healthcare applications.

AI's growing role in recruitment raises concerns about bias and fairness.

This article explores the role of AI in comedy creation and the challenges faced by comedians.

This article discusses privacy and bias in predictive algorithms for sensitive data.

A new method for estimating treatment effects using controlled trials and real-world data.

Conditional finetuning helps language models retain knowledge and reduce bias during training.

A new method for assessing policy impacts using staggered treatment strategies.

Introducing an innovative method for analyzing treatment effects without the positivity condition.

This article discusses fairness measurement in recommendation systems and proposes sampling methods.

A new method reveals insights into how text-to-image models generate images.

Exploring strengths and weaknesses of LLMs for various business tasks.

A toolkit for assessing the safety of advanced language models.

Study reveals bias differences in language models across various languages.

This article investigates gender bias in language models used for depression evaluation.

Introducing autophagy penalized likelihood estimation to address bias in AI models.

EquiPrompt aims to reduce biases in AI-generated images using innovative methods.

Evaluating risks of biased outcomes in robots using language models.