An Argumentation and Ontology Based Legal Support System for AI Vehicle Design
Yiwei Lu, Zhe Yu, Yu‐Hui Lin, Burkhard Schäfer, Andrew Ireland, Lachlan Urquhart · Frontiers in artificial intelligence and applications · 2022
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).