Generating AI images in multiple languages leads to very different results depending on the language you use.
Most AI image generation models are exclusively tested in English. This article tests DALL-E 3 in several different languages.
All prompts are transformed into English.
Before generating an image, DALL-E 3 transforms your prompt into a more descriptive prompt… and during that process also translates everything into English.
The language of the original prompt (inadvertently) affects the modified prompt
Example: asking for an “image of a person” in the Burmese languages leads to more images of Burmese people, even though I didn’t specify that in the prompt
Even with neutral prompts, DALL-E 3 generates gendered prompts
Example: I used the prompt “an image of a person”. DALL-E 3 transformed the prompt to include gendered language (e.g. woman, man) 75% of the time instead of keeping them neutral.
Women way more likely to be described as young, whereas men’s ages are more diverse
If DALL-E 3’s modified prompt mentioned a female individual, she was more likely to be described as “young” (35%) compared to “elderly” (13%) or “middle-aged” (7.7%)
Repetition of archetypes such as “young Asian women” and “elderly African men”
Overall, prompt transformations are new for AI image models and may introduce potential for biases and reduce transparency.
Read the blog!