Modelling cause-in-fact in legal cases through defeasible argumentation

Giuseppe Pisano, Henry Prakken, Giovanni Sartor, Ruta Liepina

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We propose to model cause-in-fact in legal cases through fresh argumentation-theoretic notions of explanation and support, meant to capture the set of arguments that contribute to making a conclusion justified. This novel argumentation-based approach to causality in law goes beyond the traditional idea of a cause as a necessary antecedent condition (the conditio-sine-qua-non idea), to handle concurrent causal processes leading to overdetermination and preemption. It also provides sound analyses of cases involving omission and ennoblement. Finally, by relying on defeasible argumentation it can capture causal inferences based on defeasible generalisations, which are very often used in judicial reasoning. Through the analysis of causal puzzles in legal cases, we illustrate the framework’s effectiveness in handling complex causal reasoning, and demonstrate its potential to support legal reasoners with structured and intuitive analysis.
Original languageEnglish
Title of host publicationProceedings of the 20th International Conference on Artificial Intelligence and Law
EditorsJuliano Maranhao
PublisherAssociation for Computing Machinery
Pages268-277
ISBN (Electronic)979-8-4007-1939-4
Publication statusPublished - 2025

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