67 citations · 92 across the 11 of their papers we have counts for
11 papers
Beyond Epistemia: Epistemic Schizologia and Large Language Models as Techno-Semiotic Machines
Federico Cabitza, Gianluca Colombo
Quattrociocchi and colleagues warn that the fluent outputs of large language models may allow linguistic plausibility to substitute for epistemic evaluation, producing the conditio…
Painting the black box white: experimental findings from applying XAI to an ECG reading setting
Federico Cabitza, Matteo Cameli, Andrea Campagner +2
The shift from symbolic AI systems to black-box, sub-symbolic, and statistical ones has motivated a rapid increase in the interest toward explainable AI (XAI), i.e. approaches to m…
Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine
Andrea Campagner, Lorenzo Famiglini, Anna Carobene +1
In medical settings, Individual Variation (IV) refers to variation that is due not to population differences or errors, but rather to within-subject variation, that is the intrinsi…
Responsible AI in Healthcare
Federico Cabitza, Davide Ciucci, Gabriella Pasi +1
This article discusses open problems, implemented solutions, and future research in the area of responsible AI in healthcare. In particular, we illustrate two main research themes…
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Valerio Basile, Federico Cabitza, Andrea Campagner +1
Most Artificial Intelligence applications are based on supervised machine learning (ML), which ultimately grounds on manually annotated data. The annotation process is often perfor…
Who wants accurate models? Arguing for a different metrics to take classification models seriously
Federico Cabitza, Andrea Campagner
With the increasing availability of AI-based decision support, there is an increasing need for their certification by both AI manufacturers and notified bodies, as well as the prag…