Tech Companies Reportedly Influenced Gig Workers' Behaviors Using Algorithms to Vary Pay for Same Amount of Work
May 8, 2014
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- GOVERN 2.2 — similarity 0.684, rank 1. TAIM detail and related incidents →
- GOVERN 4.2 — similarity 0.683, rank 2. TAIM detail and related incidents →
- MAP 3.2 — similarity 0.681, rank 3. TAIM detail and related incidents →
- Alleged deployer
- uber, amazon
- Alleged developer
- uber, amazon
- Alleged harmed parties
- uber-drivers, gig-workers, amazon-delivery-workers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/527
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
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