Allegations of Influencing Gig Worker Pay through AI Algorithms: The Need for Responsible AI Governance
May 8, 2014
A multiyear ethnographic study suggests Amazon and Uber used algorithmic systems to manipulate wages for gig workers, offering lower pay for the same tasks. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help establish guardrails for AI? JOIN US
- 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
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.