Publications
Publications
For the complete list of my publications, visit my Google Scholar
Manganini, C., Corsi, E. A., & Primiero, G. (2026). Data Speak but Sometimes Lie: A Game-Theoretic Approach to Data Bias and Algorithmic Fairness. International Journal of Approximate Reasoning, 109608. https://doi.org/10.1016/j.ijar.2025.109608.
Heilmann, X., Manganini, C., Cerrato, M., Kestel, L., & Belle, V. (2026). A Neurosymbolic Approach to Counterfactual Fairness. Neurosymbolic Artificial Intelligence, 2, 29498732261443184. https://doi.org/10.1177/29498732261443184.
Manganini, C., Primiero, G. (2026). 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.
Manganini, C. (2025). A Sceptical Paradox for Computational Artefacts. Philosophical Inquiries, 13(2). https://doi.org/10.4454/philinq.v14i2.610. [Best paper in Metaphysics at SIFA 2025 - Italian Society of Analytic Philosophy]
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. https://doi.org/10.1007/978-3-031-77892-6_7.
Algorithmic Fairness as a Repair Practice