|  | Vol-3319 urn:nbn:de:0074-3319-5 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).

# BEWARE 2022
Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming

### Proceedings of 1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming (BEWARE 2022)
co-located with the 21th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022)

### Udine, Italy, December 2, 2022.

Edited by

### Guido Boella *
Fabio Aurelio D'Asaro **
Abeer Dyoub ***
Giuseppe Primiero ****

* University of Turin, Department of Computer Science, Turin, Italy
** University of Verona, Ethos Group, Department of Human Sciences, Verona, Italy
*** University of L'Aquila, DISIM, L'Aquila, Italy
**** University of Milan, LUCI Group, Department of Philosophy, Milan, Italy

## Table of Contents

- Preface
  Summary: There were 14 papers submitted for peer-review to this workshop. Out of these, 13 papers were accepted for this volume, 4 as regular papers and 9 as short papers.

### Invited Talk

- Ethics and Gender for Responsible Research and Innovation in AI (extended abstract) 1-8
  Francesca Alessandra Lisi

### Session 1: Logic For AI

- Proof-checking Bias in Labeling Methods 9-19
  Giuseppe Primiero, Fabio Aurelio D'Asaro
- Two Remarks on Counting Propositional Logic 20-32
  Melissa Antonelli
- Logics for Binary-input Classifiers and Their Explanations (short paper) 33-38
  Xinghan Liu, Emiliano Lorini
- Reasoning About Algorithmic Opacity (short paper) 39-45
  Mattia Petrolo, Ekaterina Kubyshkina

### Session 2: Technical Approaches to XAI

- Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation 46-60
  Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini
- Fairness and Bias in Learning Systems: a Generative Perspective (short paper) 61-66
  Serge Dolgikh
- Using Inductive Logic Programming to Globally Approximate Neural Networks for Preference Learning: Challenges and Preliminary Results 67-83
  Daniele Fossemò, Filippo Mignosi, Luca Raggioli, Matteo Spezialetti, Fabio D'Asaro
- XAI Approach for Addressing the Dataset Shift Problem: BCI as a Case Study (short paper) 83-88
  Andrea Apicella, Francesco Isgrò, Roberto Prevete
- Investigation and Mitigation of Bias in Explainable AI (short paper) 89-94
  Muhammad Suffian, Alessandro Bogliolo

### Session 3: Conceptual Views

- Explaining Predictions with Enthymematic Counterfactuals (short paper) 95-100
  Alexander Berman, Ellen Breitholtz, Christine Howes, Jean-Philippe Bernardy
- XAI and Philosophical Work on Explanation: a Survey (short paper) 101-106
  Aleks Knoks, Thomas Raleigh
- Gender Knowledge and Artificial Intelligence (short paper) 107-112
  Silvana Badaloni, Antonio Rodà

2023-01-06: submitted by Fabio Aurelio D'Asaro, metadata incl. bibliographic data published under Creative Commons CC0
2023-01-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|