The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety

arXiv:2601.06116v3 Announce Type: replace Abstract: Generative AI models reproduce the human biases in their training data and further amplify them through mechanisms such as mode collapse. The loss of diversity produces homogenization, which not only harms the minoritized but impoverishes...