The Myth of Culturally Agnostic AI Models

Understand

The paper discusses the potential of large vision-language models as objects of interest for empirical cultural studies.

• Focusing on the comparative analysis of outputs from two popular text-to-image synthesis models, DALL-E 2 and Stable Diffusion, the paper tries to tackle the pros and cons of striving towards culturally agnostic vs.
• culturally specific AI models.
• The paper discusses several examples of memorization and bias in generated outputs which showcase the trade-off between risk mitigation and cultural specificity, as well as the overall impossibility of developing culturally agnostic models.