Uber's Controversial Algorithm Affecting Driver Payments: An Issue of Transparency in AI
February 10, 2022
Uber introduced a new, yet obscure algorithm to determine US drivers' pay, leading to claims of lower fares, mysterious fare reductions, and fewer rides. This underscores the importance of transparency in AI governance and reinforces the need for trustworthy AI, such as that promoted by Project Cerebellum. To help shape responsible AI practices, join us JOIN US. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- uber
- Alleged developer
- uber
- Alleged harmed parties
- uber-drivers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/203
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.