@inproceedings{condello-di-nunzio-2024-legal,
    title = "Legal Science and Compute Science: A Preliminary Discussions on How to Represent the {``}Penumbra{''} Cone with {AI}",
    author = "Condello, Angela  and
      Di Nunzio, Giorgio Maria",
    editor = "Nunzio, Giorgio Maria Di  and
      Vezzani, Federica  and
      Ermakova, Liana  and
      Azarbonyad, Hosein  and
      Kamps, Jaap",
    booktitle = "Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.determit-1.16",
    pages = "179--184",
    abstract = "Legal science encounters significant challenges with the widespread integration of AI software across various legal operations. The distinction between signs, senses, and references from a linguistic point of view, as drawn by Gottlob Frege, underscores the complexity of legal language, especially in multilingual contexts like the European Union. In this paper, we describe the problems of legal terminology, examining the {``}penumbra{''} problem through Herbert Hart{'}s legal theory of meaning. We also analyze the feasibility of training automatic systems to handle conflicts between different interpretations of legal norms, particularly in multilingual legal systems. By examining the transformative impact of Artificial Intelligence on traditional legal practices, this research contributes to the theoretical discussion about the exploration of innovative methodologies for simplifying complex terminologies without compromising meaning.",
}

Legal science encounters significant challenges with the widespread integration of AI software across various legal operations. The distinction between signs, senses, and references from a linguistic point of view, as drawn by Gottlob Frege, underscores the complexity of legal language, especially in multilingual contexts like the European Union. In this paper, we describe the problems of legal terminology, examining the {``}penumbra{''} problem through Herbert Hart{'}s legal theory of meaning. We also analyze the feasibility of training automatic systems to handle conflicts between different interpretations of legal norms, particularly in multilingual legal systems. By examining the transformative impact of Artificial Intelligence on traditional legal practices, this research contributes to the theoretical discussion about the exploration of innovative methodologies for simplifying complex terminologies without compromising meaning.
Condello, Angela Di Nunzio, Giorgio Maria
Legal Science and Compute Science: A Preliminary Discussions on How to Represent the “Penumbra” Cone with AI