Mapping the Issues of Automated Legal Systems: Why Worry About Automatically Processable Regulation?

Aurelia Tamo - Larrieux, Clement Guitton*, Simon Mayer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The field of computational law has increasingly moved into the focus of the scientific community, with recent research analysing its issues and risks. In this article, we seek to draw a structured and comprehensive list of societal issues that the deployment of automatically processable regulation could entail. We do this by systematically exploring attributes of the law that are being challenged through its encoding and by taking stock of what issues current projects in this field raise. This article adds to the current literature not only by providing a needed framework to structure arising issues of computational law but also by bridging the gap between theoretical literature and practical implementation. Key findings of this article are: (1) The primary benefit (efficiency vs. accessibility) sought after when encoding law matters with respect to the issues such an endeavor triggers; (2) Specific characteristics of a project—project type, degree of mediation by computers, and potential for divergence of interests—each impact the overall number of societal issues arising from the implementation of automatically processable regulation.
Original languageEnglish
Pages (from-to)571-599
Number of pages29
JournalArtificial Intelligence and Law
Volume31
Issue number3
Early online date4 Aug 2022
DOIs
Publication statusPublished - Sept 2023

Keywords

  • automatically processable regulation
  • computational law
  • contestability
  • responsibility
  • risk assessment
  • transparency
  • Transparency
  • LAW
  • PROTECTION
  • Responsibility
  • Contestability
  • Computational law
  • Risk assessment
  • Automatically processable regulation

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