Sign In

Communications of the ACM

ACM TechNews

Uber, Lyft Pricing Algorithms Charge More in Non-White Areas


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
The logos of Uber and Lyft.

George Washington University researchers found apparent racial bias in pricing algorithms used by ride-hailing companies.

Credit: hoskinsandturco.com

George Washington University researchers found apparent racial bias in pricing algorithms used by ride-hailing companies like Uber and Lyft.

GW's Aylin Caliskan and Akshat Pandey analyzed transport and census data in Chicago and found that the firms charge higher fares if a pick-up point or destination is in a neighborhood with a greater ethnic minority population than for those with predominantly white residents.

The researchers compared trip data from ride-hailing apps to information from the U.S. Census Bureau's American Community Survey.

Although rider ethnicity is excluded from the trip data, fare prices per mile were higher overall if the pick-up or drop-off location was in a neighborhood with fewer white residents, a lower median house price, or lower average educational level.

Os Keyes at the University of Washington in Seattle said, "This should cause us to further question studies of 'fairness' and 'bias' in algorithms which promise to end algorithmic racism by simply not mentioning race."

From New Scientist
View Full Article

 

Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA


 

No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account
ACM Resources