Dante Marino

Istituto Nazionale di Fisica Nucleare, Sezione di Napoli

Papers

Total Citations

H-Index

About

Dante Marino is a scholar whose work sits at the compelling intersection of artificial intelligence, machine learning, and moral philosophy. His research focuses primarily on the epistemic and ethical dimensions of learning robots — specifically, how the inherent unpredictability of machine learning systems raises profound questions about human accountability and legal liability. Marino's most influential contributions examine the epistemic limitations that arise when robots learn from experience through supervised inductive learning. His foundational work explores a critical challenge: if a robot's behavior cannot be fully predicted or explained, how can moral responsibility and liability be meaningfully assigned? This question, which he began addressing as early as 2006, has only grown more urgent as AI systems have become increasingly sophisticated and embedded in everyday life. His most cited paper, "Learning robots interacting with humans: from epistemic risk to responsibility" (2007, 37 citations), exemplifies his ability to bridge technical AI concepts with rigorous philosophical analysis. With subsequent works continuing to attract scholarly attention well into 2020, Marino's research has proven remarkably durable, anticipating debates that now sit at the very heart of AI ethics and governance discourse. His body of work remains essential reading for anyone grappling with accountability in an age of autonomous systems.