Václav Janeček (University of Bristol – School of Law) & Giovanni Sartor (European University Institute Law Department; University of Bologna – CIRSFID) have posted Legal Interpretation and AI: From Expert Systems to Argumentation and LLMs on SSRN. Here is the abstract:
AI and Law research has encountered legal interpretation in different ways, in the context of its evolving approaches and methodologies. Research on expert system has focused on legal knowledge engineering, with the goal of ensuring that humangenerated interpretations can be precisely transferred into knowledge-bases, to be consistently applied. Research on argumentation has aimed at representing the structure of interpretive arguments, as well as their dialectical interactions, to assess of the acceptability of interpretive claims within argumentation frameworks. Research on machine learning has focused on the automated generation of interpretive suggestions and arguments, through general and specialised GenAI tools, now being increasingly deployed in legal practice.
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