Newer Is Not Fairer: Gender Stereotyping in Text-to-Image AI Across Model Generations
A study evaluated the gender representation in text-to-image generative models, specifically Stable Diffusion, across multiple generations. The results showed that newer models do not necessarily improve fairness and that bias persists, particularly in historically female-coded occupations.
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