AI Incident Database: Tech Companies Reportedly Influenced Gig Workers' Behaviors Using Algorithms to Vary Pay for Same Amount of Work
Amazon and Uber were alleged in a multiyear ethnographic study using algorithmic systems based on gig workers' data to vary pay, such as by offering them lower wages for the same amount of work.
AI Incident Database · Incident 527Operator lens (medium): inspect D2 (output validation), D6 (autonomy oversight).
Event summary
Amazon and Uber were alleged in a multiyear ethnographic study using algorithmic systems based on gig workers' data to vary pay, such as by offering them lower wages for the same amount of work.
Linked entities
- uber
organisation | 70%
- Amazon
vendor | 70%
- uber-drivers
organisation | 70%
- gig-workers
organisation | 70%
- amazon-delivery-workers
organisation | 70%
Related graph edges
| Edge | Type | Confidence |
|---|---|---|
| ent-vendor-amazon to ent-psf-d2 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d2 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d2 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d6 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d6 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d6 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d2 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d2 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d2 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d6 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d6 | maps to | 60% |
| ent-vendor-amazon to ent-psf-d6 | maps to | 60% |