|  | Vol-2742 urn:nbn:de:0074-2742-7 Copyright 2020 for the individual papers by the papers' authors. Copyright © 2020 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 2020
Italian Workshop on Explainable Artificial Intelligence 2020

### Proceedings of the Italian Workshop on Explainable Artificial Intelligence
co-located with 19th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2020)

### Online Event, November 25-26, 2020.

Edited by

### Cataldo Musto *
Daniele Magazzeni **
Salvatore Ruggieri ***
Giovanni Semeraro *

* University of Bari 'Aldo Moro', Department of Computer Science, Bari, Italy
** J.P. Morgan AI Research, London, United Kingdom
*** University of Pisa, Department of Computer Science, Pisa, Italy

## Table of Contents

- Preface

### Long Papers

- Decision Explanation: Applying Contextual Importance and Contextual Utility in Affect Detection 1-13
  Nazanin Fouladgar, Marjan Alirezaie, Kary Framling
- Learning Simplified Functions to Understand 14-28
  Bruno Apolloni, Ernesto Damiani
- Understanding Automatic COVID-19 Classification Using Chest X-ray images 29-40
  Pierangela Bruno, Cinzia Marte, Francesco Calimeri
- SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence 41-54
  Ivan Donadello, Mauro Dragoni
- Argumentation and Logic Programming for Explainable and Ethical AI 55-68
  Roberta Calegari, Andrea Omicini, Giovanni Sartor
- Towards a Logic of "Inferable'' for Self-Aware Transparent Logical Agents 68-79
  Stefania Costantini, Valentina Pitoni

### Short Papers

- A Philosophical Approach for a Human-centered Explainable AI 80-86
  Luca Capone, Marta Bertolaso
- Is Explanation the Real Key Factor for Innovation? 87-95
  Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi
- Considerations for Applying Logical Reasoning to Explain Neural Network Outputs 96-103
  Federico Maria Cau, Lucio Davide Spano, Nava Tintarev
- Approaching Explainable Recommendations for Personalized Social Learning: the Current Stage in the Educational Platform "WhoTeach" 104-111
  Luca Marconi, Ricardo Anibal Matamoros Aragon, Italo Zoppis, Sara Manzoni, Giancarlo Mauri, Francesco Epifania
- Pat-in-the-loop: Syntax-based Neural Networks with Activation Visualization and Declarative Control 112-118
  Fabio Massimo Zanzotto, Dario Onorati, Pierfrancesco Tommasino, Andrea Santilli, Leonardo Ranaldi, Francesca Fallucchi
- Understanding Deep Learning with Activation Pattern Diagrams 119-126
  Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti
- Towards a Conditional Interpretation of Self Organizing Maps 127-134
  Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré
- Interacting with Features: Visual Inspection of Black-box Fault Type Classification Systems in Electrical Grids 135-141
  Carmelo Ardito, Yashar Deldjoo, Eugenio Di Sciascio, Fatemeh Nazary

2020-11-15: submitted by Cataldo Musto, metadata incl. bibliographic data published under Creative Commons CC0
2020-11-15: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|