Responsible automatically processable regulation

Détails

ID Serval
serval:BIB_D50BDE49ED7F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Responsible automatically processable regulation
Périodique
AI & SOCIETY
Auteur⸱e⸱s
Clement Guitton, Simon Mayer, Aurelia Tamo-Larrieux, Dimitri Van Landuyt, Eduard Fosch-Villaronga, Irene Kamara, Przemysław Pałka
ISSN
0951-5666
1435-5655
Statut éditorial
Publié
Date de publication
28/03/2024
Langue
anglais
Résumé
<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>
Création de la notice
31/05/2024 8:02
Dernière modification de la notice
01/06/2024 7:18
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