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

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.18007v1 Announce Type: new 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 multiple generations. We evaluate gender…

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  1. 2026-09-17 04:00 · arXiv cs.CV
    Newer Is Not Fairer: Gender Stereotyping in Text-to-Image AI Across Model Generations

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