The Workers'
Algorithm Observatory
FairFare helps drivers, organizers, and policy-makers
understand the ride hail industry by crowdsourcing fare data from drivers. Drivers securely
and anonymously link their job data to analyze average fare
breakdowns and changes over time, in several states
nationwide. This pilot study runs through Summer 2024, is
based at Princeton University, and is funded by the Mozilla
Foundation. Read about our launch in this blog post, learn about our early findings in this 10-min video
with drivers in Colorado, and sign up for the study at
the getfairfare.org website.
The Shipt Calculator was a worker-led study of a black box
algorithm used by the delivery company Shipt. Willy Solis, a member of
the Gig Workers Collective who led the study, collaborated with Coworker.org and our team to crowdsource and analyze data shared
by over one hundred workers using a custom texting bot. We
found that wages decreased for a majority but increased for
a minority, suggesting that the algorithm determines more
than just pay – it affects worker agency and well-being,
too. Learn more about this in a blog post and 11-minute film
produced in collaboration with the MIT Media Lab and the FAccT
conference.