Latest Articles for Bias In Technology

This article reveals how VLMs reflect gender stereotypes in real-world tasks.

Examining how AI learns human-like biases from facial impressions.

A look at semantic leakage and its impact on language model outputs.

Models favor visual prompts over learned knowledge, impacting decision-making.

Investigating the impact of appearance bias in AI systems.

Examining the importance of fairness in AI systems impacting lives.

This study investigates how CLIP interprets faces and reflects social biases.

Examining the effects of updates on safety, bias, and authenticity in image generation.

A new benchmark evaluates biases in language models used for medical diagnoses.

An analysis of fairness testing tools for software developers.

This article explores identifying and managing biases in AI for fair outcomes.

This study examines gender bias in teacher evaluations generated by AI models.

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

A new method aims to reduce bias in language models' predictions.

Researchers develop methods to ensure fairness in machine learning systems.

Addressing bias in ML models for equitable SUD treatment recommendations.

Examining the bias in AI music toward Global North styles over Global South traditions.