A new data set, SHADES, has launched to help developers tackle AI bias, such as harmful stereotypes and other forms of discrimination, that appear in AI chatbot responses across several languages, according to MIT Technology Review. Margaret Mitchell, chief ethics scientist at AI startup Hugging Face, led the international team that built the data set. This spotlights how large language models (LLMs) internalize stereotypes and assesses if they perpetuate those biases. Spotting biases in AI SHADES differs from other AI models, as most only work on models trained in English.