And this week, researchers from Stanford, Columbia, the University of Washington and Bocconi University in Milan published the results of their investigation into Stable Diffusion, finding that the “amplified stereotypes are difficult to predict and not easily mitigated by users or model owners,” and that the mass deployment of text-to-image generators that utilize LLMs “is cause for serious concern.” First, that text prompts to Stable Diffusion “generate thousands of images perpetuating dangerous racial, ethnic, gendered, class, and intersectional stereotypes”; second, that “beyond merely reflecting societal disparities,” the system generates “cases of near-total stereotype amplification”; and third, that “prompts mentioning social groups generate images with complex stereotypes that…