AI RESEARCH
Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models
arXiv CS.AI
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ArXi:2604.21036v1 Announce Type: new 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 graphic groups across professions. Prompts such as 'doctor' or 'CEO' frequently yield lighter-skinned outputs, while lower-status roles like 'janitor' show diversity, reinforcing stereotypes. Existing mitigation methods typically require re