Assessing appropriate reliance: a framework for evaluating AI influence on user decision-making. - Caterina Fregosi; Andrea Campagner; Chiara Natali; Federico Cabitza (AIxHMI@AI*IA, 2024)

Algorithmic Authority & AI Influence in Decision Settings: Theories and Implications for Design. - Alessandro Facchini; Caterina Fregosi; Chiara Natali; Alberto Termine; Ben Wilson (HAI, 2024)

A Frictional Design Approach: Towards Judicial AI and its Possible Applications. - Caterina Fregosi; Federico Cabitza (HHAI Workshops, 2024)

Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making. - Federico Cabitza; Caterina Fregosi; Andrea Campagner; Chiara Natali (xAI (4), 2024)

From Oracular to Judicial: Enhancing Clinical Decision Making through Contrasting Explanations and a Novel Interaction Protocol. - Federico Cabitza; Lorenzo Famiglini; Caterina Fregosi; Samuele Pe; Enea Parimbelli; Giovanni Andrea La Maida; Enrico Gallazzi (IUI, 2025)

Machine learning systems as mentors in human learning: A user study on machine bias transmission in medical training. - Lucia Vicente; Helena Matute; Caterina Fregosi; Federico Cabitza (Int. J. Hum. Comput. Stud., 2025)

Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization. - Laura Bergomi; Giovanna Nicora; Marta Anna Orlowska; Chiara Podrecca; Riccardo Bellazzi; Caterina Fregosi; Francesco Salinaro; Marco Bonzano; Giuseppe Crescenzi; Francesco Speciale; Santi Di Pietro; Valentina Zuccaro; et al. (BMC Medical Informatics Decis. Mak., 2025)