Marco Rondina

Research topic

Responsible AI: from principles to industrial practices

Tutors

• Juan Carlos De Martin
• Antonio Vetro'

Research presentation

Poster

Master of Science

• Data Ethics and Data Protection. A.A. 2025/26, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Sistemi informativi aziendali. A.A. 2025/26, INGEGNERIA GESTIONALE. Collaboratore del corso
• Sistemi informativi aziendali. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
• Data Ethics and Data Protection. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Sistemi informativi aziendali. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso

Bachelor of Science

• Politica e tecnica (Grandi Sfide - Digitale). A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
• Politica e tecnica (Grandi Sfide - Digitale). A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso

• Nexa Center for Internet & Society (DAUIN)

• Ullasci, Martina; Rondina, Marco; Coppola, Riccardo; Vetro', Antonio (In stampa)
  Gender bias and propagation of stereotypes in GenAI-assisted recruitment. In: ACM International Conference on the Foundations of Software Engineering (FSE) - 2nd Intersectionality and Software Engineering Workshop, Montreal (CA), 05-09/07/2026
  Contributo in Atti di Convegno (Proceeding)
• Ullasci, Martina; Rondina, Marco; Coppola, Riccardo; Giobergia, Flavio; Bellanca, ... (In stampa)
  Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures. In: ACM International Conference on the Foundations of Software Engineering (FSE) - 2nd Intersectionality and Software Engineering Workshop, Montreal (CA), 05-09/07/2026
  Contributo in Atti di Convegno (Proceeding)
• Ullasci, Martina; Rondina, Marco; Coppola, Riccardo; Vetro', Antonio (In stampa)
  Gender Bias in Generative AI-assisted Recruitment Processes. In: 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering - 2nd International Workshop on Fairness in Software Systems, Lymassol (CYP), 17/03/2026
  Contributo in Atti di Convegno (Proceeding)
• Fantino, Giacomo; Rondina, Marco; Vetro', Antonio; De Martin, Juan Carlos (2026)
  Quantifying Privacy Risks in Synthetic Data: A Study on Black-Box Membership Inference. In: Fundamental Approaches to Software Engineering: 29th International Conference, FASE 2026, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2026, Turin (ITA), April 11-16, 2026, pp. 86-106. ISSN 1611-3349. ISBN: 978-3-032-22774-4
  Contributo in Atti di Convegno (Proceeding)
• Fantino, Giacomo; Rondina, Marco; Vetro', Antonio; De Martin, Juan Carlos (2026)
  Code for: Quantifying Privacy Risks in Synthetic Data: A Study on Black-Box Membership Inference.
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