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

Abstract / Description of output

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. Engi-
neers 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 con-
structing a trustworthy legal decision system. While the ideas are generally appli-
cable to AI products, our initial focus has been on Autonomous Vehicles (AVs).
Original languageEnglish
Title of host publicationLegal Knowledge and Information Systems
Subtitle of host publicationJURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14–16 December 2022
EditorsEnrico Francesconi, Georg Borges, Christoph Sorge
Place of PublicationAmsterdam
PublisherIOS Press
Number of pages6
ISBN (Electronic)9781643683652
ISBN (Print)9781643683645
Publication statusPublished - 1 Dec 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Keywords / Materials (for Non-textual outputs)

  • legal ontology
  • autonomous vehicle
  • legal detection
  • argumentation theory
  • explainable AI


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