AI Incident Database: iGPT, SimCLR Learned Biased Associations from Internet Training Data
Unsupervised image generation models trained using Internet images such as iGPT and SimCLR were shown to have embedded racial, gender, and intersectional biases, resulting in stereotypical depictions.
AI Incident Database · Incident 367Operator lens (medium): inspect D1 (input boundary), D2 (output validation), D3 (data handling).
Event summary
Unsupervised image generation models trained using Internet images such as iGPT and SimCLR were shown to have embedded racial, gender, and intersectional biases, resulting in stereotypical depictions.
Linked entities
- OpenAI
vendor | 70%
- Google
vendor | 70%
- underrepresented-groups-in-training-data
organisation | 70%
- minority-groups
organisation | 70%
Related graph edges
| Edge | Type | Confidence |
|---|---|---|
| ent-vendor-google to ent-psf-d1 | maps to | 60% |
| ent-vendor-google to ent-psf-d1 | maps to | 60% |
| ent-vendor-google to ent-psf-d1 | maps to | 60% |
| ent-vendor-google to ent-psf-d2 | maps to | 60% |
| ent-vendor-google to ent-psf-d2 | maps to | 60% |
| ent-vendor-google to ent-psf-d2 | maps to | 60% |
| ent-vendor-google to ent-psf-d4 | maps to | 60% |
| ent-vendor-google to ent-psf-d4 | maps to | 60% |
| ent-vendor-google to ent-psf-d4 | maps to | 60% |
| ent-vendor-google to ent-psf-d6 | maps to | 60% |
| ent-vendor-google to ent-psf-d6 | maps to | 60% |
| ent-vendor-google to ent-psf-d6 | maps to | 60% |