BEWARE 2023
Bias, Ethical AI, Explainability and the role of Logic and Logic Programming

Table of Contents

• Preface
  Summary: There were 11 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 5 as regular papers and 4 as short papers.

Regular Papers

• Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm 1-14
  Federico Sabbatini, Roberta Calegari
• Bridging Human Concepts and Computer Vision for Explainable Face Verification 15-29
  Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini
• Exploring Ethical and Conceptual Foundations of Human-Centred Symbiosis with Artificial Intelligence 30-43
  Antonio Carnevale, Antonio Lombardi, Francesca Alessandra Lisi
• BRIOxAlkemy: a Bias Detecting Tool 44-60
  Greta Coraglia, Fabio Aurelio D'Asaro, Francesco Antonio Genco, Davide Giannuzzi, Davide Posillipo, Giuseppe Primiero, Christian Quaggio
• Towards a Logical Foundation of Randomized Computation 61-72
  Melissa Antonelli

Short Papers

• An Italian Dataset for the Analysis of Gender Stereotypes in Textual Documents 73-78
  Silvana Badaloni, Antonio Rodà, Martino Scagnet
• An XAI-Based Masking Approach to Improve Classification Systems 79-83
  Andrea Apicella, Salvatore Giugliano, Francesco Isgrà, Andrea Pollastro, Roberto Prevete
• Inductive Logic Programming for Transparent Alignment with Multiple Moral Values 84-88
  Celeste Veronese, Daniele Meli, Filippo Bistaffa, Manel Rodríguez-Soto, Alessandro Farinelli, Juan A. Rodríguez-Aguilar
• A Logical Approach to Algorithmic Opacity 89-95
  Mattia Petrolo, Ekaterina Kubyshkina, Giuseppe Primiero