BiasMedium
Harmful Stereotyping of Non-Cisgendered People via Text-to-Image Systems
- Occurred
- Jul 3, 2023
- Published
- Jul 3, 2023
- Source
- AI Incident Database
Summary
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.
Developers
- OpenAI
Deployers
- DALL-E
Harmed parties
- Non-cisgender individuals
- LGBTQ+ community
Tags
- LGBTQ+
- Queer representation
- generative AI
- text-to-image generation
Classification
Category confidence: 95%
Severity confidence: 90%
Rationale: Incident describes systemic bias in text-to-image AI generating harmful stereotypes against non-cisgender identities.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8