Per Year
- Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024)
(edited volume) — Roberta Calegari, Virginia Dignum, Barry O'Sullivan - Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method (paper in proceedings) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- Generation of Clinical Skin Images with Pathology with Scarce Data (paper in proceedings) — Andrea Borghesi, Roberta Calegari
- Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence (article in journal) — Federico Sabbatini, Catia Grimani, Roberta Calegari
- Untying black boxes with clustering-based symbolic knowledge extraction (article in journal) — Federico Sabbatini, Roberta Calegari
- Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Enforcing Fairness via Constraint Injection with FaUCI (paper in proceedings) — Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (article in journal) — Federico Sabbatini, Roberta Calegari
- Special Issue on Trustworthy AI (special issue) — Roberta Calegari, Fosca Giannotti, Francesca Pratesi, Michela Milano
- AI-fairness and equality of opportunity: a case study on educational achievement (paper in proceedings) — Ángel S. Marrero, Gustavo A. Marrero, Carlos Bethencourt, Liam James, Roberta Calegari
- Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (paper in proceedings) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari
0000-0003-3794-2942— Products
2P
LPaaS
Arg-tuProlog
— Events
WOA 2021
— Projects
CompuLaw
— Associations
AIxIA
— Courses
Foundations of Informatics T-2
Multi-agent Systems (module 2)
Sem. Coding for Lawyers