Uber's Surge Pricing Reportedly Offered Disproportionate Service Quality along Racial Lines

February 3, 2016

Uber's surge-pricing algorithm, designed to adjust prices and influence car availability, unintentionally led to disproportionate service quality along racial lines, offering shorter wait times in majority white neighborhoods. This incident underscores the importance of safe and secure AI practices and the need for Project Cerebellum's governance and guardrails for AI. For those interested in shaping trustworthy AI, JOIN US.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 3.2 — similarity 0.666, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.664, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.654, rank 3. TAIM detail and related incidents →

Alleged deployer: uber
Alleged developer: uber
Alleged harmed parties: poor-neighborhoods, neighborhoods-of-color

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/407

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.

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