Note: Every presentation has max 20 minutes + 5 minutes Q&A
Session I: Bias, Fairness and Trust (10:30-12:30)
Chair: Abeer Dyoub
Mattia Petrolo, Ekaterina Kubyshkina and Giuseppe Primiero. Prior to Trust: Frequentist and Bayesian views of Trust in AI.
J.-Martín Castro-Manzano. Ageism in Artificial Intelligence.
Gabriele Nino and Francesca Alessandra Lisi. Rethinking Bias and Fairness in AI Through the Lens of Gender Studies.
Laura Cesaro, Andrea Franceschini, Silvana Badaloni, Emanuele Menegatti and Antonio Rodà. Gender biases in robots for education.
LUNCH (12:30-13:30)
Session II: Ethical Decision Making and Bias handling in AI-based systems (13.30-15.30)
Chair: Francesca Alessandra Lisi
Abeer Dyoub and Francesca Alessandra Lisi. Towards Ethical Risk Assessment of Symbiotic AI Systems with Fuzzy Rules.
Mahrokh Mirani, Franco Raimondi and Nicolas Troquard. Towards Efficient Norm-Aware Robots' Decision Making Using Datalog.
Teerath Kumar, Abhishek Mandal, Susan Leavy, Suzanne Little, Alessandra Mileo and Malika Bendechache. Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques.
Davide Di Pierro and Stefano Ferilli. A Perturbation-based Dataset Evaluation Approach for Fair Classifications.
Alessandro G. Buda, Greta Coraglia, Francesco A. Genco, Chiara Manganini and Giuseppe Primiero. Bias Amplification Chains in ML-based systems with an application to credit scoring.
COFFEE BREAK(15:30-16:00)
Session III: Legal aspects and model inspection (16:00-18:00)
Chair: Davide Di Pierro
Sveva Ianese. Artificial Intelligence as a peacebuilding tool: what is missing? A comparative legal analysis.
Ariel Vercelli. United Nations, artificial intelligences and regulations: analysis of the General Assembly AI Resolutions and the Final Report of the Advisory Body on AI.
Artem Chernobrovkin. A Roadmap from Weights to Wisdom: Inspecting and Extracting Knowledge from Graph Neural Networks.
Karthik Prasanna Natarajan. Does Content Effect in LLMs Point to Genuine Reasoning?