Latest Articles for Bias

A new approach tackles the issue of bias in AI systems.

A new approach tackles language and vision biases in VQA systems.

Conceptor sheds light on how diffusion models create images from text.

New framework measures biases in computer-generated images from text prompts.

Examining fairness in recommender systems and the impact of biases.

An innovative method to manage language model outputs for fairness and safety.

Examining how language models perceive moral norms across cultures.

Addressing bias in AI models to improve patient care in radiology.

Studying how biases in training data influence model behavior and performance.

AI tools like GPT-3 may improve data coding for social scientists.

A study on how ChatGPT handles prompts and addresses bias in responses.

This study investigates biases in language models using soft-prompt tuning.

This study examines how well summarisation models capture diverse opinions.

Examining how AI language models reflect biases against marginalized communities.

Exploring the performance of RC-FPI in inconsistent optimization problems.

A new method reveals how well DNNs learn important features from training data.

A fresh approach to reduce bias in facial expression recognition systems.

Face0 quickly generates images based on text and specific faces.

Examining ChatGPT's influence on employment and biases in AI responses.

Examining how GLMs can amplify language biases in everyday communication.

A method to reduce bias in AI training datasets for fairer outcomes.

An overview of ChatGPT's benefits and ethical considerations in software engineering.

A study on biases in representation in biographies from Wikipedia.

A new method enhances labeling accuracy for social science studies using LLMs.

Examining bias and fairness measures in biometric technology performance.

A new method improves speech recognition accuracy for African accents.

Examining the impact of dataset size on harmful content in AI models.

This paper discusses the importance of fairness in automated decision-making systems.

FeedbackMap simplifies the analysis of open-ended survey responses for organizations.

This article explores a benchmark tool for assessing biases in language models.

Using statistical methods to enhance the quality of content moderation reviews.

A new method detects hate speech linked to white supremacy.

Examining the interplay of fairness, privacy, and predictive performance in machine learning.

Review of seroprevalence data reveals vital gaps in measles immunity.

This paper examines biases in word embeddings using a Bayesian approach.

Research compares NLME model approaches for drug effect estimation.

This study examines how biases in language models affect social group perceptions.

Examining how subgroup separability impacts bias in medical imaging models.

A new method to improve fairness in federated learning models while maintaining privacy.

DBFed aims to reduce bias in AI while maintaining data privacy.