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 Symbolic Knowledge Extraction via PSyKE. A Tutorial (PRIMA 2022, 16/11/2022) — Giovanni Ciatto (Giovanni Ciatto, Matteo Magnini, Federico Sabbatini)

 Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (paper in proceedings, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini

 Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (AIxIA 2022, 29/11/2022) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)

 On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (AAAI Spring Symposium 2023 – AITA: AI Trustworthiness Assessment, 27/03/2023) — Roberta Calegari (Federico Sabbatini, Roberta Calegari)

 Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022, 01/09/2022) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)

 Symbolic Knowledge Extraction for Explainable Nutritional Recommenders (article in journal, 2023) — Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoǧan, Andrea Omicini

 XAI: Current Frontiers and the Path Ahead Towards Trustworthy AI (XLoKR 2023 - Explainable Logic-Based Knowledge Representation KR 2023, 02/09/2023) — Roberta Calegari (Roberta Calegari)

 Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (paper in proceedings, 2023) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini

 Assessing and Enforcing Fairness in the AI Lifecycle (Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), 23/08/2023) — Roberta Calegari (Roberta Calegari, Gabriel Gonzalez Castane, Michela Milano, Barry O'Sullivan)