The reliable application of legal standards in AI systems depends on a comprehensive and updated database of such legal standards. However, as laws are often formulated vaguely or in very general terms, the required specification is mainly provided retrospectively via case law.

Current research aims to extract applicable norms from court decisions and other legal sources, systematise them, and formulate them in a machine-readable format. One relevant use case is autonomous driving, as self-driving vehicles must comply with all applicable traffic regulations.

The work of Prof. Dr. Borges’ team presented in the workshop focuses on the identification of implicit traffic rules, while the focus of Prof. Satoh’s team lies on the automation of the related activities using ChatGPT.

The workshop will take place at Saarland University, building B4.1, room 0.27 from 4 to 6 p.m. (CET). The event is open to the public and free of charge, prior registration is not required. Interested visitors are welcome.

The event will also be streamed live here.