A benchmark of 13 image-generation models finds that most amplify occupational gender stereotypes, producing men in 93% of male-stereotyped prompts and 22.5% of female-stereotyped prompts, while one model approached parity.
Exposing and correcting the gender bias in image captioning datasets and models, 2019
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Automated Evaluation of Gender Bias Across 13 Large Multimodal Models
A benchmark of 13 image-generation models finds that most amplify occupational gender stereotypes, producing men in 93% of male-stereotyped prompts and 22.5% of female-stereotyped prompts, while one model approached parity.