Newer Is Not Fairer: Gender Stereotyping in Text-to-Image AI Across Model Generations
Text-to-image generative models are widely used in professional and creative settings, yet how they represent gender across occupations -- and whether newer models are fairer -- remains poorly understood across multiple generations. We evaluate gender representation across 20 occupations, 5 prompt templates, and 4 Stab...
Shesh Narayan Gupta, N. Brown
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