AI4EVIR

AI

Workshop AI4EVIR: AI for Evidential Reasoning

Updated Schedule!

Tuesday December 9th, morning session (09:00-13:00), at Cavallerizza Reale – Piazza Vittorio Veneto, Sala Multifunzione.

09:00-09:15 Opening

09:15-09:50

Invited talk: Marouschka Vink

09:50-10:30 Session 1

09:50 - 10:10 - Federico Costantini, Fausto Galvan, Francesco Crisci, Luca Baron and Pier Luca Montessoro - The Quality Assessment of LLM in Digital Forensics

10:10 - 10:30 - Anne Ruth Mackor and Henry Prakken - On Reporting Likelihood Ratios of Exhaustive and Non-Exhaustive Hypotheses about Rare Events in Criminal Cases

10:30 - 11:00 Coffee break

11:00 - 12:40 Session 2

11:00 - 11:10 - Shawn Bowers and Bertram Ludäscher - Towards Trustworthy AI Results using Evidence Structures: From Certificates to Argumentation Frameworks

11:10 - 11: 30 Leya Hampson and Ludi van Leeuwen - Investigating the value of qualitative Bayesian networks of complete cases as “double-check” tools on traditional judicial reasoning: An exploratory study

11:30 - 11:50 - Aybüke Özgün and Daira Pinto Prieto - A Qualitative Logic for Uncertain Evidence and Belief Comparison

11:50 - 12:10 - Mengxuan Helen Qiao, Vanessa Cheung, Leya Hampson and David Lagnado - Recency Effects, Cautious Convictions, and Conservative Updating in GPT-4o’s Legal Decisions

12:10 - 12:30 - Henrik Palmer Olsen, Mohammad N S Jahromi, Frederik Bay-Jørgensen, Thomas B Moeslund and Thomas Gammeltoft-Hansen - Managing Fuzziness: Leveraging LLMs for Discovering Credibility Indicators in Asylum Cases

12:30 - 13:00 - Wrapup Discussion and closing

Call for Papers

(in conjunction with JURIX 2025, 10–11 December, Turin)

Workshop date: 9 December 2025

Reasoning with evidence to establish relevant facts lies at the heart of legal reasoning. Technologies that allow us to reason about facts are evolving, and new kinds of evidence are becoming available (for example, digital forensic science). At the same time, reasoning with evidence is a dynamic and complex process: practitioners must decide what evidence to collect and how to interpret it amid vast amounts of data. These choices in selecting evidence and the following reasoning with evidence are complex tasks that may benefit from standardization and assistance by AI, for example, to avoid probabilistic and other fallacies.

The AI for Evidential Reasoning workshop aims to bring together researchers working on formal, computational, and empirical approaches to reasoning with evidence, as well as those with expertise in forensic science and evidence evaluation. The goal is to foster discussion and exchange between theoretical and applied perspectives on how AI can contribute to evidential reasoning in legal and investigative contexts.

The half-day workshop will feature:

The workshop proceedings will be submitted to CEUR for publication.


Topics of interest

We invite contributions on topics including (but not limited to):


Program Committee

Burkhard Schafer

Florix Bex

Rineke Verbrugge

Anne Ruth Mackor

William Thompson

Hylke Jellema

Amy Wilson

Giovanni Tuzet

Henry Prakken

Daphne Odekerken

David Lagnado

Annet Onnes

Cor Steging

Marouschka Vink

Silja Renooij

Marcello Di Bello

Jeroen Keppens

Christian Dahlman

Organizers

Ludi van Leeuwen - Rijksuniversiteit Groningen (l.s.van.leeuwen@rug.nl)

Roos Scheffers - Utrecht Universiteit (r.j.scheffers@uu.nl)

Bart Verheij - Rijksuniversiteit Groningen

Submission guidelines

We welcome:

Submissions must follow the CEUR-WS template (Download LaTeX paper template) and be submitted via EasyChair.

Important dates (AoE)

Submission deadline: 10 November

Notification of acceptance: 24 November

Camera-ready version: 7 December

Schedule & Location

EasyChair: https://easychair.org/my/conference?conf=ai4evir

Conference website: https://jurix2025.di.unito.it/home