GiusBERTo: Italys AI-Based Judicial Transformation

Pratim Milton Datta, Brian J. Zahn, Luca Attias, Giulio Salierno, Rosamaria Bertè, Daniela Battisti, Thomas Acton

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

Abstract

In an age when open access to law enforcement files and judicial documents can erode individual privacy and confidentiality, miscreants can abuse this open access to personal information for blackmail, misinformation, and even social engineering. Yet, limiting access to law enforcement and court cases is a freedom-of-information violation. To address this tension, this teaching case exemplifies how Italys Corte dei Conti (Court of Auditors) used artificial intelligence in the automated deidentification and anonymization of court documents in the Italys public sector. This teaching case is aimed at undergraduate and graduate students learning about AI (Artificial Intelligence) LLM (Large Language Models, e.g., ChatGPT) evolution, development, and operations. This teaching case will help students learn the origin and evolution of AI transformer models and architectures, discusses the GiusBERTo operation and process, highlighting opportunities and challenges. GiusBERTo, Italys custom-AI model, offers an innovative approach that walks a tightrope between anonymizing Italys judicial court documents without sacrificing context or information loss. The case ends with a series of questions, challenges, and potential for LLMs in data anonymization.
Original languageEnglish (Ireland)
JournalCommunications Of The Association For Information Systems
Publication statusPublished - 1 Jan 2023

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Datta, PM; Attias, L; Battisti, D; Salierno, G; Berte, R; Zahn, B ; Acton, T.

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