Latest Articles for Bias

New approach improves regression estimates by effectively handling outliers linked to variables.

Examining fairness issues in transaction fraud detection systems.

Algorithms confront bias and delays in user preference feedback.

Examining the risks and challenges of AI technology in medical applications.

Examining key security issues related to large language models in AI.

This study examines the relationship between intrinsic and extrinsic bias metrics in NLP.

This article examines bias in TTI systems and the role of embeddings.

Examining how language processing tools influence the richness of communication.

This article addresses bias in graphical models and proposes a method for fair analysis.

Examining how biases affect digital content suggestions across demographics.

An analysis questions the necessity of major trials for streptokinase's effectiveness.

This study investigates sex bias in predicting pilot stress and fatigue.

HEARTS aims to improve stereotype detection in text while ensuring explainability and sustainability.

Research highlights the importance of fair diagnosis in respiratory illnesses.

This study analyzes the two-tower model's performance against bias in document ranking.

Investigating the link between role-play and biases in language models.

Researchers introduce the STOP dataset to analyze bias in language models.

This paper discusses fairness in selecting candidates for institutions amid biased evaluations.

This study investigates AI's role in salary negotiation advice and potential biases.

Research shows how algorithms shape user views on social networks.

This paper investigates fairness in blocking methods for entity matching systems.

Examining how different thinking styles affect survey responses and biases.

PeerArg enhances transparency and reliability in the peer review process.

FVNNs provide a fair approach to data analysis and predictions.

PASPO provides a fresh approach to complex allocation challenges across various fields.

This paper evaluates fairness issues in Retrieval-Augmented Generation methods.

This paper discusses methods to reduce bias in observational studies with continuous treatments.

Exploring AI advancements in weather forecasting amid climate change.

This approach helps AI systems learn better without needing human labels.

Examining the importance of fairness in record matching techniques.

Explore the impact of shortcut learning on language models and their real-world applications.

This paper discusses creating safe, fair guidelines for AI development.

Two methods enhance the accuracy of AI-generated text evaluations.

This article discusses fairness issues in Graph Neural Networks and introduces a new method.

This study explores how different cultures interpret hate speech in memes.

A study reveals biases in measuring dark matter during galaxy cluster collisions.

Exploring how genes and environment interact to influence human traits.

A look at similarity networks to improve fairness in machine learning.

Methods to create fair summaries from diverse social media voices.

Examining how Language Models influence communication and ethical challenges.