Download full text
(external source)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.1111/rego.12371
Exports for your reference manager
Extending the framework of algorithmic regulation: The Uber case
[journal article]
Abstract In this article, we take forward recent initiatives to assess regulation based on contemporary computer technologies such as big data and artificial intelligence. In order to characterize current phenomena of regulation in the digital age, we build on Karen Yeung's concept of "algorithmic regulation... view more
In this article, we take forward recent initiatives to assess regulation based on contemporary computer technologies such as big data and artificial intelligence. In order to characterize current phenomena of regulation in the digital age, we build on Karen Yeung's concept of "algorithmic regulation," extending it by building bridges to the fields of quantification, classification, and evaluation research, as well as to science and technology studies. This allows us to develop a more fine‐grained conceptual framework that analyzes the three components of algorithmic regulation as representation, direction, and intervention and proposes subdimensions for each. Based on a case study of the algorithmic regulation of Uber drivers, we show the usefulness of the framework for assessing regulation in the digital age and as a starting point for critique and alternative models of algorithmic regulation.... view less
Keywords
regulation; algorithm; artificial intelligence; automation; decision making
Classification
Technology Assessment
Free Keywords
algorithmic regulation; big data; quantification
Document language
English
Publication Year
2020
Journal
Regulation & Governance (2020) Early View Articles
ISSN
1748-5991
Status
Published Version; peer reviewed