While Text-to-Image models such as Dall-E and Stable Diffusion are becoming increasingly adept at creating new content, they also open doors to new types of harms and biases. We describe some of the challenges raised by deploying these models, provide a case study for bias assessment, and discuss future avenues of exploration in the field.
