BiasHigh
Researchers' Homosexual-Men Detection Model Denounced as a Threat to LGBTQ People's Safety and Privacy
- Occurred
- Sep 7, 2017
- Published
- Oct 9, 2017
- Source
- AI Incident Database
Summary
Researchers at Stanford Graduate School of Business developed a model that determined, on a binary scale, whether someone was homosexual using only his facial image, which advocacy groups such as GLAAD and the Human Rights Campaign denounced as flawed science and threatening to LGBTQ folks.
Developers
- Yilun Wang
- Michal Kosinski
Deployers
- Yilun Wang
- Michal Kosinski
Harmed parties
- non-American LGBTQ people
- LGBTQ people of color
- LGBTQ people
- Privacy
- Biometric data subjects
Classification
Category confidence: 90%
Severity confidence: 85%
Rationale: AI model discriminates against LGBTQ individuals by inferring sexual orientation from facial images, raising safety and privacy concerns.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8