Responsible automatically processable regulation

Clement Guitton*, Simon Mayer, Aurelia Tamo-Larrieux, Dimitri Van Landuyt, Eduard Fosch-Villaronga, Irene Kamara, Przemyslaw Palka

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)1-16
JournalAI and Society
DOIs
Publication statusE-pub ahead of print - 1 Mar 2024

Keywords

  • encoding regulation
  • principles
  • automatically processable regulation
  • responsible
  • systematization of knowledge
  • fairness
  • legal
  • law

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