4 citations · 6 across the 5 of their papers we have counts for
5 papers
Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
Markus Reuter, Tobias Lingenberg, Rūta Liepiņa +5
Retrieval-Augmented Generation (RAG) is a promising approach to mitigate hallucinations in Large Language Models (LLMs) for legal applications, but its reliability is critically de…
Foundations for Risk Assessment of AI in Protecting Fundamental Rights
Antonino Rotolo, Beatrice Ferrigno, Jose Miguel Angel Garcia Godinez +2
This chapter introduces a conceptual framework for qualitative risk assessment of AI, particularly in the context of the EU AI Act. The framework addresses the complexities of lega…
Lessons Learned in Performing a Trustworthy AI and Fundamental Rights Assessment
Marjolein Boonstra, Frédérick Bruneault, Subrata Chakraborty +21
This report shares the experiences, results and lessons learned in conducting a pilot project ``Responsible use of AI'' in cooperation with the Province of Friesland, Rijks ICT Gil…
No More Trade-Offs. GPT and Fully Informative Privacy Policies
Przemysław Pałka, Marco Lippi, Francesca Lagioia +2
The paper reports the results of an experiment aimed at testing to what extent ChatGPT 3.5 and 4 is able to answer questions regarding privacy policies designed in the new format t…
Legal Summarisation through LLMs: The PRODIGIT Project
Thiago Dal Pont, Federico Galli, Andrea Loreggia +3
We present some initial results of a large-scale Italian project called PRODIGIT which aims to support tax judges and lawyers through digital technology, focusing on AI. We have fo…