activity
20242026
collaborators

7 papers

cs.AI2026

Deontic Argumentation

Guido Governatori, Antonino Rotolo

We address the issue of defining a semantics for deontic argumentation that supports weak permission. Some recent results show that grounded semantics do not support weak permissio…

cs.AI2025

A Modal Logic for Temporal and Jurisdictional Classifier Models

Cecilia Di Florio, Huimin Dong, Antonino Rotolo

Logic-based models can be used to build verification tools for machine learning classifiers employed in the legal field. ML classifiers predict the outcomes of new cases based on p…

cs.AI2025

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…

cs.MA2025

A Replica for our Democracies? On Using Digital Twins to Enhance Deliberative Democracy

Claudio Novelli, Javier Argota Sánchez-Vaquerizo, Dirk Helbing +2

Deliberative democracy depends on carefully designed institutional frameworks, such as participant selection, facilitation methods, and decision-making mechanisms, that shape how d…

cs.AI2025

Judicial Permission

Guido Governatori, Antonino Rotolo

This paper examines the significance of weak permissions in criminal trials (\emph{judicial permission}). It introduces a dialogue game model to systematically address judicial per…

cs.AI2025

Rule-based Classifier Models

Cecilia Di Florio, Huimin Dong, Antonino Rotolo

We extend the formal framework of classifier models used in the legal domain. While the existing classifier framework characterises cases solely through the facts involved, legal r…