5 papers
Scientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy
Martina Mattioli, Marcello Pelillo
Medical Artificial Intelligence (AI) is widely expected to transform clinical practice, yet the decision-making processes of many Machine Learning (ML) models remain opaque. Explai…
Onto-Epistemological Analysis of AI Explanations
Martina Mattioli, Eike Petersen, Aasa Feragen +2
Artificial intelligence (AI) is being applied in almost every field. At the same time, the currently dominant deep learning methods are fundamentally black-box systems that lack ex…
Understanding XAI Through the Philosopher's Lens: A Historical Perspective
Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo
Despite explainable AI (XAI) has recently become a hot topic and several different approaches have been developed, there is still a widespread belief that it lacks a convincing uni…
-zero: Gradient-based Optimization of -norm Adversarial Examples
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor +3
Evaluating the adversarial robustness of deep networks to gradient-based attacks is challenging. While most attacks consider - and -norm constraints to craft i…
Vector Flows and the Capacity of a Discrete Memoryless Channel
G. Beretta, G. Chiarot, A. E. Cinà +1
One of the fundamental problems of information theory, since its foundation by Shannon in 1948, has been the computation of the capacity of a discrete memoryless channel, a quantit…