Skip to main navigation Skip to search Skip to main content

Emerging challenges in legal informatics from machine learning to LLMs - Preface to the proceedings of the 1st PLC workshop

  • Eindhoven University of Technology
  • University of Turin

Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research › peer-review

70 Downloads (Orbit)

Abstract

The integration of Artificial Intelligence techniques, machine learning and large language models into legal informatics offers innovative potential, from enhancing legal research efficiency to supporting legal reasoning. These advancements introduce significant challenges, including issues related to data privacy, bias in legal datasets, and the interpretability of complex algorithms in legal contexts. Emerging challenges involve reliability, fairness, and ethical considerations in AI-driven legal applications. The research contributions presented at a recent workshop on Processes, Law and Compliance aim to deepen these issues for the development of AI applications in the field of legal informatics.
Original languageEnglish
Title of host publicationProceedings of the 1st Internation Workshop on Processes, Laws and Compliance
Number of pages5
Volume3850
PublisherCEUR-WS
Publication date2024
Publication statusPublished - 2024
Event1st International Workshop on Processes, Laws and Compliance - Lyngby, Denmark
Duration: 14 Oct 2024 → 14 Oct 2024

Workshop

Workshop1st International Workshop on Processes, Laws and Compliance
Country/TerritoryDenmark
CityLyngby
Period14/10/2024 → 14/10/2024
SeriesCEUR Workshop Proceedings
ISSN1613-0073

Keywords

  • AI-Driven Legal Informatics
  • Legal Event Logs
  • Legal Machine Learning Challenges

Fingerprint

Dive into the research topics of 'Emerging challenges in legal informatics from machine learning to LLMs - Preface to the proceedings of the 1st PLC workshop'. Together they form a unique fingerprint.

Cite this