|  | Vol-3881 urn:nbn:de:0074-3881-3 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 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 2024
Bias, Risk, Explainability, Ethical AI and the role of Logic and Logic Programming 2024

### Proceedings of the 3rd Workshop on Bias, Ethical AI, Explainability and the role of Logic and Logic Programming
co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024)

### Bolzano, Italy, November 26, 2024.

Edited by

### Greta Coraglia *
Fabio Aurelio D’Asaro **
Abeer Dyoub ***
Francesca Alessandra Lisi ***
Giuseppe Primiero *

* Department of Philosophy, University of Milan, Italy
** Department of Human Sciences, University of Verona, Italy
*** Computer Science Department, University of Bari, Italy

## Table of Contents

- Preface
  Summary: There were 16 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume, 6 as regular papers and 6 as short papers.

### Session I: Bias, Fairness and Trust

- Prior to Trust: Frequentist and Bayesian Views of Trust in AI (Short Paper) 1
  Mattia Petrolo, Ekaterina Kubyshkina, Giuseppe Primiero
- Rethinking Bias and Fairness in AI Through the Lens of Gender Studies 6-22
  Gabriele Nino, Francesca Alessandra Lisi
- Gender Biases in Robots for Education 23-35
  Laura Cesaro, Andrea Franceschini, Silvana Badaloni, Emanuele Menegatti, Antonio Rodà

### Session II: Ethical Decision Making and Bias Handling in AI-based Systems

- Towards Ethical Risk Assessment of Symbiotic AI Systems with Fuzzy Rules 36-49
  Abeer Dyoub, Francesca Alessandra Lisi
- Towards Efficient Norm-Aware Robots' Decision Making Using Datalog (Short Paper) 50-59
  Mahrokh Mirani, Franco Raimondi, Nicolas Troquard
- Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques 59-70
  Teerath Kumar, Abhishek Mandal, Susan Leavy, Suzanne Little, Alessandra Mileo, Malika Bendechache,
- A Perturbation-based Dataset Evaluation Approach for Fair Classifications (Short Paper) 70-76
  Davide Di Pierro, Stefano Ferilli
- Bias Amplification Chains in ML-based Systems with an Application to Credit Scoring 77-86
  Alessandro G. Buda, Greta Coraglia, Francesco A. Genco, Chiara Manganini, Giuseppe Primiero

### Session III: Legal Aspects and Model Inspection

- Artificial Intelligence as a Peacebuilding Tool: What is Missing? A Comparative Legal Analysis 87-98
  Sveva Ianese
- United Nations, Artificial Intelligences and Regulations: Analysis of the General Assembly AI Resolutions and the Final Report of the Advisory Body on AI (Short Paper) 99-106
  Ariel Vercelli
- A Roadmap from Weights to Wisdom: Inspecting and Extracting Knowledge from Graph Neural Networks (Short Paper) 107-114
  Artem Chernobrovkin
- Does Content Effect in LLMs Point to Genuine Reasoning? (Short Paper) 115-120
  Karthik Prasanna Natarajan

2024-11-28: submitted by Abeer Dyoub, metadata incl. bibliographic data published under Creative Commons CC0
2024-12-22: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|