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https://doi.org/10.1111/rego.12371
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Extending the framework of algorithmic regulation: The Uber case
[Zeitschriftenartikel]
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... mehr
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.... weniger
Thesaurusschlagwörter
Regulierung; Algorithmus; künstliche Intelligenz; Automatisierung; Entscheidungsfindung
Klassifikation
Technikfolgenabschätzung
Freie Schlagwörter
algorithmic regulation; big data; quantification
Sprache Dokument
Englisch
Publikationsjahr
2020
Zeitschriftentitel
Regulation & Governance (2020) Early View Articles
ISSN
1748-5991
Status
Veröffentlichungsversion; begutachtet (peer reviewed)