The solution
Marinella Quaranta is a first-year Ph.D. candidate in the “Law, Science and Technology” (LAST JD) program at the University of Bologna. She holds a Master’s Degree in European Legal Studies from the University of Turin. Marinella’s academic interests lie primarily in Legal Informatics, particularly the implications of artificial intelligence (AI) in the medical field.
Her thesis examined the development of the new European Regulation on AI systems and its interaction with European medical frameworks, a project that included collaboration with A.O.U “Città della Scienza e della Salute” in Turin. Following her graduation, she began a fellowship in the IT Department of the University of Turin, where she contributed to two key projects: “Circular Health 4 Industry (Ch4)” and “Next Generation UPP.” Her work on the Ch4 project deepened her understanding of administrative regulations governing AI in healthcare settings, particularly through her collaboration with the Molinette Data Protection Officer and the ASL To3 legal officer on legal documentation related to AI systems for clinical imaging.
Marinella’s current Ph.D. research builds upon these experiences, focusing on the legal compliance implications of AI medical tools.
Alessandro Bucci is currently pursuing a Master’s degree in Computer Science, specializing in Artificial Intelligence at the University of Pisa. He holds a Bachelor’s degree in Computer Science from the University of Naples “Federico II.” His academic background encompasses extensive knowledge in programming, software development, data science, and AI, with a focus on machine learning, deep learning, and computer vision.
Alessandro’s research interests include natural language processing and AI ethics, emphasizing transparency, fairness, and accountability in decision-making systems, aligning with the principles of the EU AI Act. His thesis investigates explainable AI, concentrating on the ethical dimensions of fairness, robustness, and privacy in AI models.
In addition to his studies, Alessandro works as a freelance ICT consultant, where he assists clients with complex technical challenges related to software and hardware. He has also developed structured project presentations for various proposals. Recently, he co-authored a publication for EVALITA 2023, exploring innovative techniques for conspiracy detection using transformer models and tf-idf methods, achieving notable performance scores in classification tasks. This blend of academic and consulting experience fuels his commitment to advancing ethical AI research and applications.
