Dr. Fabrizio Russo

Dr. Fabrizio Russo

Research Associate, incoming AI in Policy Fellow

Publications & Conferences

Optimal Correction Sets for Argumentative Causal Discovery

Fabrizio Russo, Giuseppe Mazzotta, Carmine Dodaro, Francesco Ricca, Francesca Toni, "Optimal Correction Sets for Argumentative Causal Discovery." LINDA 2026: Logical Approaches to Handling Inconsistent Data, co-located with KR / FLoC 2026 (to appear).

Operationalising Relative Causal Knowledge: Backbone Identifiability from Private Reports

Fabrizio Russo, Mark Somers, "Operationalising Relative Causal Knowledge: Backbone Identifiability from Private Reports." JoeFest: A Workshop in Honor of Joseph Y. Halpern, co-located with KR / FLoC 2026 (to appear).

Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach

Zihao Li, Fabrizio Russo, "Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach." 42nd Conference on Uncertainty in Artificial Intelligence, UAI 2026 (to appear).

Heterogeneous Graph Neural Networks for Assumption-Based Argumentation

Preesha Gehlot, Anna Rapberger, Fabrizio Russo, Francesca Toni, "Heterogeneous Graph Neural Networks for Assumption-Based Argumentation." In Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence, AAAI-26, 2026.

Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework

Fabrizio Russo, Francesca Toni, "Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework." In Proceedings of the Fourth Conference on Causal Learning and Reasoning, CLeaR 2025, 2025.

On Gradual Semantics for Assumption-Based Argumentation

Anna Rapberger, Fabrizio Russo, Antonio Rago, Francesca Toni, "On Gradual Semantics for Assumption-Based Argumentation." In Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning, KR 2025, 2025.

Heterogeneous Graph Neural Networks for Credulous Acceptance of Assumptions in ABA

Preesha Gehlot, Anna Rapberger, Fabrizio Russo, Francesca Toni, "Heterogeneous Graph Neural Networks for Credulous Acceptance of Assumptions in ABA." In Proceedings of the Second International Workshop on Argumentation and Applications, co-located with KR 2025, 2025.

Online Handbook of Argumentation for AI: Volume 4

Lars Bengel, Lydia Blümel, Elfia Bezou-Vrakatseli, Federico Castagna, Giulia D'Agostino, Isabelle Kuhlmann, Jack Mumford, Daphne Odekerken, Fabrizio Russo, Stefan Sarkadi, Madeleine Waller, Andreas Xydis, "Online Handbook of Argumentation for AI: Volume 4." CoRR, 2024.

Contestable AI Needs Computational Argumentation

Francesco Leofante, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, Antonio Rago, Anna Rapberger, Fabrizio Russo, Xiang Yin, Dekai Zhang, Francesca Toni, "Contestable AI Needs Computational Argumentation." In Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024, Hanoi, Vietnam. November 2-8, 2024, 2024.

Argumentative Causal Discovery (with Appendices)

Fabrizio Russo, Anna Rapberger, Francesca Toni, "Argumentative Causal Discovery." CoRR, 2024.

Argumentative Causal Discovery

Fabrizio Russo, Anna Rapberger, Francesca Toni, "Argumentative Causal Discovery." In Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024, Hanoi, Vietnam. November 2-8, 2024, 2024.

Shapley-PC: Constraint-based Causal Structure Learning with Shapley Values

Fabrizio Russo, Francesca Toni, "Shapley-PC: Constraint-based Causal Structure Learning with Shapley Values." CoRR, 2023.

Explaining Classifiers' Outputs with Causal Models and Argumentation

Antonio Rago, Fabrizio Russo, Emanuele Albini, Francesca Toni, Pietro Baroni, "Explaining Classifiers' Outputs with Causal Models and Argumentation." FLAP, 2023.

Causal Discovery and Knowledge Injection for Contestable Neural Networks

Fabrizio Russo, Francesca Toni, "Causal Discovery and Knowledge Injection for Contestable Neural Networks." In ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Krak'ow, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), 2023.

Argumentation for Interactive Causal Discovery

Fabrizio Russo, "Argumentation for Interactive Causal Discovery." In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, 2023.

Causal Discovery and Knowledge Injection for Contestable Neural Networks (with Appendices)

Fabrizio Russo, Francesca Toni, "Causal Discovery and Injection for Feed-Forward Neural Networks." CoRR, 2022.

Forging Argumentative Explanations from Causal Models

Antonio Rago, Fabrizio Russo, Emanuele Albini, Pietro Baroni, Francesca Toni, "Forging Argumentative Explanations from Causal Models." In Proceedings of the 5th Workshop on Advances in Argumentation in Artificial Intelligence 2021 co-located with the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), Milan, Italy, November 29th, 2021, 2021.