Responsible automatically processable regulation

Details

Serval ID
serval:BIB_D50BDE49ED7F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Responsible automatically processable regulation
Journal
AI & SOCIETY
Author(s)
Clement Guitton, Simon Mayer, Aurelia Tamo-Larrieux, Dimitri Van Landuyt, Eduard Fosch-Villaronga, Irene Kamara, Przemysław Pałka
ISSN
0951-5666
1435-5655
Publication state
Published
Issued date
28/03/2024
Language
english
Abstract
<jats:title>Abstract</jats:title><jats:p>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, <jats:italic>comprehensive yet practically operationalizable</jats:italic> 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 <jats:italic>responsible</jats:italic> 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.</jats:p>
Create date
31/05/2024 7:02
Last modification date
01/06/2024 6:18
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