Research

Luca Biccheri, Roberta Ferrario. Beyond Copies. Digital Twins as Information Artefacts. In J. Beverley, C. M. Keet, N. Lamba, P. Lambrix, and S. Tiwari, Proceedings of the Joint Ontology Workshops (JOWO) – Episode XI: The Tukker Zomer of Ontology, co-located with the 15th International Conference on Formal Ontology in Information Systems (FOIS 2025), Catania, Italy, September 8-12, 2025. CEUR Workshop Proceedings, Vol. 4176.

Leonardo Ceragioli and Giuseppe Primiero (2026), Trustworthiness Preservation by Copies of Machine Learning Systems International Journal of Approximate Reasoning, https://doi.org/10.1016/j.ijar.2026.109638

Chiara Manganini, Giuseppe Primiero (2025), Defining Formal Validity Criteria for Machine Learning Models In: Durán, J.M., Pozzi, G. (eds) Philosophy of Science for Machine Learning. Synthese Library, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-032-03083-2_14

Chiara Manganini, Esther Anna Corsi, Giuseppe Primiero (2025), Data speak but sometimes lie: A game-theoretic approach to data bias and algorithmic fairness. International Journal of Approximate Reasoning, https://doi.org/10.1016/j.ijar.2025.109608

Alessandro G. Buda and Giuseppe Primiero (2025), A logic for Using Information, Logique et Analyse, vol. 265, Peeters Publishers 2025.

M. Fumagalli and R. Ferrario, Leveraging teleological explanation to support general-purpose AI assessment, AI & Society, online first, Springer 2025.

E. Bottazzi Grifoni and R. Ferrario, The bewitching AI: The Illusion of Communication with Large Language Models, Philosophy & Technology, vol. 38, art. 61, Springer 2025.

Acciai, A., Guerrisi, L., Plebe, A., & Suriano, R. (2025). Neural language models as content analysis tools in psychology. Philosophical Psychology, 1-24.

Primiero, G. (2025). Justice at the Core of a New AI Paradigm. Harvard Data Science Review, 7(4).

Francesca Doneda, Francesco A. Genco, and Giuseppe Primiero (2025). A logic for reasoning about (negative) trust under uncertainty Journal of Applied Non-Classical Logics, 1–59.

Alessandro G. Buda, Chiara Manganini & Giuseppe Primiero (2025). A Philosophical Framework for Data-Driven Miscomputations, Philosophies 2025, 10(4), 88

Ceragioli, L., & Primiero, G. (2025). A Proof System with Causal Labels (Part II): checking Counterfactual Fairness, Proceedings of the 7th International Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, Bologna, Italy, October 26, 2025

Ceragioli, L., & Primiero, G. (2025). A Proof System with Causal Labels (Part I): checking Individual Fairness and Intersectionality, Proceedings of the 7th International Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, Bologna, Italy, October 26, 2025

Ceragioli, L., & Primiero, G. (2025). Trustworthiness Preservation by Copies of Machine Learning Systems. arXiv

Dimarogkona, M., Stefaneas, P., & Angius, N. (2025). A Meta-Logical Framework for the Equivalence of Syntactic and Semantic Theories. Philosophies, 10(4), 78

Angius, N., Perconti, P., Plebe, A., & Acciai, A. (2025). Making sense of transformer success. Frontiers in Artificial Intelligence, 8, 1509338.

Angius, N. (2025). Meaning and Reference in Programming Languages. Philosophies, 10(2), 40.

Acciai, A., Guerrisi, L., Perconti, P., Plebe, A., Suriano, R., & Velardi, A. (2025). Narrative coherence in neural language models. Frontiers in Psychology, 16, 1572076.

Ceragioli, L. Inferential semantic contamination, harmony and realist pollution. Synthese 205, 123 (2025).

Manganini, C., Primiero, G. (2024). Reasoning With and About Bias. In: Hosni, H., Landes, J. (eds) Perspectives on Logics for Data-driven Reasoning. Logic, Argumentation & Reasoning, vol 35. Springer, Cham.

Alessandro G. Buda, Greta Coraglia, Francesco A. Genco, Chiara Manganini and Giuseppe Primiero (2024). Bias Amplification Chains in ML-based Systems with an Application to Credit Scoring. In Proceedings of the 3rd Workshop on Bias, Ethical AI, Explainability and the role of Logic and Logic Programming.

Camilla Quaresmini, Giuseppe Primiero (2024).
Data Quality Dimensions for Fair AI. In Proceedings of the 2nd Workshop on Fairness and Bias in AI.

Angius, N., Perconti, P., Plebe, A., & Acciai, A. (2024). The Simulative Role of Neural Language Models in Brain Language Processing. Philosophies, 9(5), 137.

Angius, Nicola and Petros Stefaneas. 2024. “ The Logical Structure of Modular Semantic Theories of Software Systems.” Metaphilosophy 00(0): 1–17. https://doi.org/10.1111/meta.12701.

Mattia Fumagalli, Roberta Ferrario and Giancarlo Guizzardi. A Teleological Approach to Information Systems Design, Minds and Machines 34:23, (2024).

Angius, N., Perconti, P., Plebe, A., & Acciai, A. (2024). Co-Simulations of Brain Language Processing using Neural Language Models. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46).
Dissemination

Alessandro Acciai, Rossella Suriano, SMARTEST 1st Project Meeting, vol. 19, n.1, 2025.

Nicola Angius. SMARTEST. The Reasoner, vol. 18, Number 4, July 2024.

Roberta Ferrario. SMARTEST. The Reasoner, vol. 18, Number 3, May 2024.

Giuseppe Primiero. SMARTEST. The Reasoner, vol. 18, Number 2, March 2024.







