An Argumentation and Ontology Based Legal Support System for AI Vehicle Design

Yiwei Lu, Zhe Yu*, Yuhui Lin, Burkhard Schafer, Andrew Ireland, Lachlan Urquhart

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
106 Downloads (Pure)

Abstract

As AI products continue to evolve, increasingly legal problems are emerging for the engineers that design them. Current laws are often ambiguous, inconsistent or undefined when it comes to technologies that make use of AI. Engineers would benefit from decision support tools that provide engineer's with legal advice and guidance on their design decisions. This research aims at exploring a new representation of legal ontology by importing argumentation theory and constructing a trustworthy legal decision system. While the ideas are generally applicable to AI products, our initial focus has been on Autonomous Vehicles (AVs).

Original languageEnglish
Title of host publicationLegal Knowledge and Information Systems
EditorsEnrico Francesconi, Georg Borges, Christoph Sorge
PublisherIOS Press
Pages213-218
Number of pages6
ISBN (Electronic)9781643683652
ISBN (Print)9781643683645
DOIs
Publication statusPublished - 5 Dec 2022
Event35th International Conference on Legal Knowledge and Information Systems 2022 - Saarbrucken, Germany
Duration: 14 Dec 202216 Dec 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume362
ISSN (Print)0922-6389

Conference

Conference35th International Conference on Legal Knowledge and Information Systems 2022
Abbreviated titleJURIX 2022
Country/TerritoryGermany
CitySaarbrucken
Period14/12/2216/12/22

Keywords

  • Argumentation theory
  • Autonomous vehicle
  • Explainable AI
  • Legal detection
  • Legal ontology

ASJC Scopus subject areas

  • Artificial Intelligence

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