Persistent Gender and Ethnic Bias Found in Top AI Models

Persistent gender and ethnic bias found in top AI models

Results showed that models responded more frequently with biased answers to direct prompts than to indirect ones. Across all models, roughly 45% of responses to direct prompts were classified as biased, with Mistral and Gemma’s base versions showing the highest bias frequency. While indirect prompts resulted in fewer outright biased responses, they revealed substantial model confusion and deflection, particularly when no context was provided. Th…

Groundbreaking AI model uncovers hidden patterns of political bias in online news

A new study published in PLOS One introduces a large-scale method for detecting political bias in online news sources using artificial intelligence. By analyzing hundreds of thousands of news articles, the researchers developed a model that predicts political leaning and explains why an outlet is categorized in a particular way. Bias in media reporting is widely acknowledged, but studying and measuring that bias at scale has been difficult. Trad…