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Newer Is Not Fairer: Gender Stereotyping in Text-to-Image AI Across Model Generations.

arXiv:2609.18007v1 Announce Type: cross Abstract: 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

arXiv cs.AIResearch source·