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.

中文翻译：

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扩展算法监管框架。优步案

在本文中，我们提出了最近基于大数据和人工智能等计算机技术评估监管的举措。为了描述数字时代当前的监管现象，我们以杨文蔚的“算法监管”概念为基础，将其延伸到量化、分类和评估研究以及科学技术研究领域. 这使我们能够开发一个更细粒度的概念框架，分析算法规则的三个组成部分，即表示、方向和干预。并为每个提出子维度。基于对优步司机算法监管的案例研究，我们展示了该框架在数字时代评估监管的有用性，并作为批评和替代算法监管模型的起点。