Responsible automatically processable regulation
AI & Society, vol. 40, pp. 1075–1090
Abstract
Abstract Driven by the increasing availability and deployment of ubiquitous computing technologies across our private and professional lives, implementations of automatically processable regulation (APR) have evolved over the past decade from academic projects to real-world implementations by states and companies. There are now pressing issues that such encoded regulation brings about for citizens and society, and strategies to mitigate these issues are required. However, comprehensive yet practically operationalizable frameworks to navigate the complex interactions and evaluate the risks of projects that implement APR are not available today. In this paper, and based on related work as well as our own experiences, we propose a framework to support the conceptualization, implementation, and application of responsible APR. Our contribution is twofold: we provide a holistic characterization of what responsible APR means; and we provide support to operationalize this in concrete projects, in the form of leading questions, examples, and mitigation strategies. We thereby provide a scientifically backed yet practically applicable way to guide researchers, sponsors, implementers, and regulators toward better outcomes of APR for users and society.
Authors 7
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Clement Guitton corresponding
Affiliation as printed
University of St. Gallen, St. Gallen, Switzerland
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Simon Mayer corresponding
Affiliation as printed
University of St. Gallen, St. Gallen, Switzerland
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Aurelia Tamò‐Larrieux corresponding
Affiliation as printed
Maastricht University, Maastricht, The Netherlands
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Dimitri Van Landuyt corresponding
Affiliation as printed
KU Leuven, Leuven, Belgium
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Affiliation as printed
Leiden University, Leiden, The Netherlands
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Irene Kamara corresponding
Affiliation as printed
Tilburg University, Tilburg, The Netherlands
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Przemysław Pałka corresponding
Affiliation as printed
Jagiellonian University, Kraków, Poland
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