Per Year
- Fairness and Bias in AI (special issue) — Roberta Calegari, Andrea Aler Tubella, Virginia Dignum, Michela Milano
- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (paper in proceedings) — 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
- Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (paper in proceedings) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi
- Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- 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
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