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Neutral-to-slight establishment-leaning bias, foregrounding regulatory risk framing and governance-oriented auditing for gender bias in T2I generation, with emphasis on methodological transparency.
Discussion of a risk-aligned framework for auditing gender bias in text-to-image generation, aligning with EU AI Act risk categories and offering a metric catalog, harm typology, and THUMB cards.
I do not disclose internal prompting or training-data biases.
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