BEWARE 2024

Table of Contents

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• Prior to Trust: Frequentist and Bayesian Views of Trust in AI (Short Paper) 1-1 PDF
  Mattia Petrolo, Ekaterina Kubyshkina, Giuseppe Primiero
• Rethinking Bias and Fairness in AI Through the Lens of Gender Studies 6-22 PDF
  Francesca A. Lisi, Gabriele Nino
• Gender Biases in Robots for Education 23-35 PDF
  Andrea Franceschini, Silvana Badaloni, Laura Cesaro, Emanuele Menegatti, Antonio Rodà
• Towards Ethical Risk Assessment of Symbiotic AI Systems with Fuzzy Rules 36-49 PDF
  Abeer Dyoub, Francesca A. Lisi
• Towards Efficient Norm-Aware Robots' Decision Making Using Datalog (Short Paper) 50-59 PDF
  Mahrokh Mirani, Franco Raimondi, Nicolas Troquard
• Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques 59-70 PDF
  Suzanne Little, Malika Bendechache, Susan Leavy, Abhishek Mandal, Teerath Kumar, Alessandra Mileo
• A Perturbation-based Dataset Evaluation Approach for Fair Classifications (Short Paper) 70-76 PDF
  Davide Di Pierro, Stefano Ferilli
• Bias Amplification Chains in ML-based Systems with an Application to Credit Scoring 77-86 PDF
  Francesco A. Genco, Greta Coraglia, Alessandro Giuseppe Buda, Chiara Manganini, Giuseppe Primiero
• Artificial Intelligence as a Peacebuilding Tool: What is Missing? A Comparative Legal Analysis 87-98 PDF
  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 PDF
  Ariel Vercelli
• A Roadmap from Weights to Wisdom: Inspecting and Extracting Knowledge from Graph Neural Networks (Short Paper) 107-114 PDF
  Artem Chernobrovkin
• Does Content Effect in LLMs Point to Genuine Reasoning? (Short Paper) 115-120 PDF
  Karthik Prasanna Natarajan