AEQUITAS
AI Infrastructure: From Gigastructure to Edge Intelligence with Multi-Agent Systems (The Agents Journey) — Andrea Omicini, Alessandro Ricci, Viviana MascardiIntelligent Agents from Symbolic to Neurosymbolic Systems: The Quest for Integration (The Agents Journey) — Andrea Agiollo, Roberta Calegari, Giovanni Ciatto, Matteo Magnini, Andrea Omicini, Federico SabbatiniAI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives (HICSS-58) — Giovanni Ciatto, Mattia Matteini, Laura Sartori, Maria Rebrean, Catelijne Muller, Andrea Borghesi, Roberta CalegariICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (AIxIA 2024) — Federico Sabbatini, Roberta CalegariHierarchical Knowledge Extraction from Opaque Machine Learning Predictors (AIxIA 2024) — Federico Sabbatini, Roberta CalegariProceedings 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'SullivanAI-fairness and equality of opportunity: a case study on educational achievement (AEQUITAS 2024) — Ángel S. Marrero, Gustavo A. Marrero, Carlos Bethencourt, Liam James, Roberta CalegariSymbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (WOA 2024) — Federico Sabbatini, Christel Sirocchi, Roberta CalegariLong-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (AEQUITAS 2024) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele LombardiEnforcing Fairness via Constraint Injection with FaUCI (AEQUITAS 2024) — Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea OmiciniUnmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (AEQUITAS 2024) — Federico Sabbatini, Roberta CalegariEnsuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method (IJCAI 2024) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela MilanoUntying black boxes with clustering-based symbolic knowledge extraction (Intelligenza Artificiale) — Federico Sabbatini, Roberta CalegariGeneration of Clinical Skin Images with Pathology with Scarce Data (AAAI-24) — Andrea Borghesi, Roberta CalegariProceedings of the 1st Workshop on AI bias: Measurements, Mitigation, Explanation Strategies co-located with the AI Fairness Cluster Inaugural Conference 2024 (edited volume) — Roberta Calegari, Carlos Castillo, Symeon Papadopoulos, Roger SoraaAssessing and Enforcing Fairness in the AI Lifecycle (paper in proceedings) — Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O’SullivanUnlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (WOA 2023) — Federico Sabbatini, Roberta CalegariUnveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (paper in proceedings) — Federico Sabbatini, Roberta CalegariFAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (paper in proceedings) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela MilanoA geometric framework for fairness (paper in proceedings) — Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela MilanoAchieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (ECAI-2023) — Federico Sabbatini, Roberta CalegariExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023 @ KR 2023) — Federico Sabbatini, Roberta Calegari
Toggle the left panel column.
Toggle the right panel column.
AEQUITAS
01/11/2022
31/10/2025
36 months
ended
competitive
European Community
Horizon Europe
101070363
€ 3,493,990
