arXiv:2604.21036v1 Announce Type: new Abstract: Text-to-image(T2I) models like Stable Diffusion and DALL-E have made generative AI widely accessible, yet recent studies reveal that these systems often replicate societal biases, particularly in how they depict demographic groups across professions. Prompts such as 'doctor' or 'CEO' frequently yield lighter-skinned outputs, while lower-status roles
Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models
Marzia Binta Nizam, James Davis·arXiv cs.AI··1 min read
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