REVIEW 1 cited by
The Roots of Bias on Uber
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
In the last decade, there has been a growth in, what we call, digitally mediated workplaces. A digitally mediated workplace is one where interactions between stakeholders are primarily managed by proprietary, algorithmically managed digital platform. The replacement of the relationships between the stakeholders by the platform is a key feature of these workplaces, and is a contributing factor to the decrease in contractual responsibilities each stakeholder has to one another. In this paper, we discuss some of the ways in which this structure and lack of accountability serves as a root of, or at least an enabler to, the realization of biases in the ridesharing application Uber, a digitally mediated workplace.
Forward citations
Cited by 1 Pith paper
-
Poisoning Behavioral-based Worker Selection in Mobile Crowdsensing using Generative Adversarial Networks
An insider can use GANs to poison behavioral worker-selection models in mobile crowdsensing, raising cancellation predictions and cutting victim payments while evading outlier detection.
Discussion (0). Continue with ORCID to comment.