Algorithmic fairnessResponsible AIData governanceAI Act & DSAQuantification
I am a tenure-track assistant professor at the University of Trieste, where I study algorithmic fairness, responsible AI, and data governance. My research centers on defining, operationalizing, and measuring fairness, with a focus on domain-specific requirements and a critical perspective on data governance and ethics.
Previously, I spent four years in industry at IBM and Electrolux and two years as a postdoc at the Max Planck Institute for Security and Privacy. I enjoy working across disciplines and using mixed methods to tackle complex socio-technical questions; if you're interested in collaborating, feel free to reach out.
Architetture degli Elaboratori e Sistemi Operativi (module: Computer Architectures)
Course Teacher · 24 hrs, 3 CFU · University of Trieste, B.Sc. in Artificial Intelligence and Data Analytics
M.Sc.2025–26
Symbolic & Reliable AI (module: Reliable AI)
Course Teacher · 24 hrs, 3 CFU · University of Trieste, M.Sc. in Data Science and Artificial Intelligence
M.Sc.2025–26, 2024–25
Information Retrieval & Data Visualization (module: Data Visualization)
Course Teacher · 24 hrs, 3 CFU · University of Trieste, M.Sc. in Data Science and Artificial Intelligence
Ph.D.2024–25
Fairness, Accountability & Transparency (FATE) in AI
Course Leader · 18 hrs · University of Padova, Ph.D. in Information Engineering · Invited as external expert
Supervision
Open positions
I am looking for motivated Ph.D. and M.Sc. students interested in algorithmic fairness, responsible AI, and data governance. I am glad to host visiting students and researchers. All students at the University of Trieste are also welcome to get in touch about thesis topics in these areas. If you are interested in working together, please reach out by email with a brief summary of your work (e.g. your CV) and description of your research interests.
Doctoral
Marina Ceccon
Ph.D. in Information Engineering, University of Padova · Algorithmic fairness in lifelong and distributed learning · 2023–present · Co-supervised with G.A. Susto
Master's
Marina Ceccon
M.Sc. in Computer Engineering, University of Padova · "Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images" · 2022 · Co-supervised with G.A. Susto
Alberto Piva
M.Sc. in Computer Engineering, University of Padova · "A Web Application for Searching Fairness Datasets" · 2022 · Co-supervised with G. Silvello
Stefano Messina
M.Sc. in Computer Engineering, University of Padova · "Fairness Datasets: a Comprehensive Survey of the Collections Employed in Algorithmic Fairness Research" · 2021 · Co-supervised with G.A. Susto
Stefano Gottardi
M.Sc. in Automation Engineering, University of Padova · "A Fairness Analysis in Italian Car Insurance Pricing" · 2021 · Co-supervised with G.A. Susto
Davide Biasion
M.Sc. in Computer Engineering, University of Padova · "Gender Bias in Italian Word Embeddings" · 2020 · Co-supervised with G.A. Susto
Bachelor's
Alessio Martucci
B.Sc. in Artificial Intelligence and Data Science, University of Trieste · "Complessità, Accuratezza e Fairness nei Sistemi AI per la Giustizia Penale e per la Polizia Predittiva" · 2026
Alina Fogar
B.Sc. in Artificial Intelligence and Data Science, University of Trieste · "Fairness negli algoritmi di Machine Learning: il Problema della Generalizzazione" · 2025 · Co-supervised with L. Manzoni
Francesco Pio Monaco
B.Sc. in Information Engineering, University of Padova · "Bias negli Algoritmi di Machine Learning. Il Caso degli Algoritmi per l'Assistenza Sanitaria negli Stati Uniti" · 2022 · Co-supervised with G.A. Susto
Selected publications
Does fair ranking lead to fair recruitment outcomes? A study of interventions, interfaces, and interactions
Alessandro Fabris, C. Rus, J. Saldivar, A. Gatzioura, A. Biega, C. Castillo
European Association for Algorithmic Fairness — EAAF
Program Co-chair
Tutorial Chair
ACM Conference on Fairness, Accountability, and Transparency — FAccT 2025
Program Chair
European Workshop on Algorithmic Fairness — EWAF 2023
Area chair / Senior PC
Senior PC member Award
European Conference on Information Retrieval — ECIR 2026
Area Chair
European Workshop on Algorithmic Fairness — EWAF 2024–2025
Editorial
Editorial Review Board member
ACM Journal of Data and Information Quality — JDIQ
Program committee
I regularly serve on the program committees of top ML, AI, and IR conferences, including FAccT, WWW, ECIR, NeurIPS, ECML PKDD, WSDM, CIKM, and RecSys, as well as specialised workshops on algorithmic fairness and quantification.
