Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/228462
Authors: 
Eyert, Florian
Irgmaier, Florian
Ulbricht, Lena
Year of Publication: 
2020
Citation: 
[Journal:] Regulation & Governance [ISSN:] 1748-5991 [Publisher:] Wiley [Place:] Oxford [Year:] 2020 [Issue:] Early View Articles
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,” 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.
Subjects: 
algorithmic regulation
artificial intelligence
automated decisionmaking
big data
quantification
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
Document Version: 
Published Version

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