Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
Large language models (LLMs) and search engines have the potential to perpetuate biases and stereotypes by amplifying existing prejudices in their training data and algorithmic acupatch processes, thereby influencing public perception and decision-making.While most work has focused on Western-centric AI technologies, we examine social biases embedd