Uber Eats Driver's Lawsuit Highlights Importance of Safe and Secure AI: Excessive Photo Checks and False Mismatches
April 1, 2021
A former Uber Eats driver filed a lawsuit, claiming the company unjustly dismissed him due to frequent false matches of his verification selfies. This incident underscores the need for trustworthy AI and raises concerns about discrimination via excessive checks. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- uber-eats
- Alleged developer
- uber-eats
- Alleged harmed parties
- pa-edrissa-manjang, uber-eats-black-delivery-drivers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/265
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.