Sources
Incident summary from the AI Incident Database, used under CC BY-SA 4.0.
Harmful Stereotyping of Non-Cisgendered People via Text-to-Image Systems
Text-to-image systems such as DALL-E are allegedly generating biased and often insulting representations of non-cisgender identities. The systems tend to generate stereotypical and sexualized images when prompted with gender identity terms like "trans," "nonbinary," or "queer," highlighting systemic issues of bias.
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