Federico Cabitza
Papers
1
Total Citations
48
H-Index
1
About
Federico Cabitza is a leading researcher in the fields of Human-Computer Interaction, Medical Informatics, and Artificial Intelligence, with a particular focus on the socio-technical implications of AI in healthcare. His work critically examines how intelligent systems can be designed to support, rather than replace, human decision-making. A major contribution is his exploration of "meaningful human control" and the development of rule-based tools for configuring ambient intelligence systems, as demonstrated in his highly cited 2016 study (48 citations), which compared user performance and trust in different configuration approaches. Cabitza’s research has been instrumental in shaping the discourse on "augmented intelligence," emphasizing transparency, interpretability, and the need for systems that respect clinical workflows. His impact is reflected in a growing body of work that bridges computer science and medical practice, earning him recognition as a thought leader in responsible AI. Beyond his publications, Cabitza is known for his engaging teaching and his role in founding the "AI for Healthcare" research group, where he mentors a new generation of researchers to build ethically sound, human-centered technologies.
Research Focus
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Top Papers
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