Embedding-space perturbation sensitivity, combined with diversity and leave-one-out fairness scores, can flag and localize intentionally biased text-to-image models.
AI and Ethics, 1–21 (2024)
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On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
Embedding-space perturbation sensitivity, combined with diversity and leave-one-out fairness scores, can flag and localize intentionally biased text-to-image models.