|  | Vol-3277 urn:nbn:de:0074-3277-1 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# XAI.it 2022
Italian Workshop on Explainable Artificial Intelligence 2022

### Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence
co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022)

### Udine, Italy, November 28 - December 3, 2022.

Edited by

### Cataldo Musto *
Riccardo Guidotti **
Anna Monreale **
Giovanni Semeraro *

* University of Bari 'Aldo Moro', Department of Computer Science, Bari, Italy
** University of Pisa, Department of Computer Science, Pisa, Italy

## Table of Contents

- Preface
  Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 8 as regular papers and 1 as short papers.

### Long Papers

- Toward the Application of XAI Methods in EEG-based Systems 1-15
  Andrea Apicella, Francesco Isgro, Andrea Pollastro, Roberto Prevete
- On the Behaviour of BERT's Attention for the Classification of Medical Reports 16-30
  Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Tahir Mehmood, Ivan Serina
- Evaluating the Practicality of Counterfactual Explanations 31-50
  Nina Spreitzer, Hinda Haned, Ilse van der Linden
- Tell Me Why It’s Fake: Developing an Explainable User Interface for a Fake News Detection System 51-63
  Erasmo Purificato, Saijal Shahania, Ernesto William De Luca
- Benchmark Analysis of Black Box Local Explanation Methods 73-87
  Francesca Naretto, Francesco Bodria, Fosca Giannotti, Dino Pedreschi
- Ensemble Approaches for Graph Counterfactual Explanations 88-97
  Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Alessandro Celi, Ernesto Estevanell-Valladares, Daniel Alejandro Valdes-Perez
- A Human-readable Explanation for the Similarity of RDF Resources 88-103
  Simona Colucci, Francesco M. Donini, Eugenio Di Sciascio
- Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models 104-117
  Josè Luis Corcuera Bàrcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo

### Short Papers

- Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract) 64-72
  Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré

2022-11-15: submitted by Cataldo Musto, metadata incl. bibliographic data published under Creative Commons CC0
2022-11-17: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|