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Università degli studi di Trento

Intelligenza Artificiale e responsabilità civile. Un'indagine sui criteri di imputazione fra tradizione e innovazione.

Abstract

dc:description

Modern Artificial Intelligence (AI) poses new challenges for tort law. The ability of AI systems to learn and evolve from their initial programming is capable of generating significant regulatory gaps that law is called upon to address. On the one hand, there is no ex ante safety discipline related to the production phase of smart products; on the other hand, the characteristics of modern AI systems have the potential to challenge the tightness of existing national liability rules. The aim of the present research is to investigate the aforementioned protection gaps and the regulatory tools that the institutions of the European Union are preparing to fill them, in a perspective that necessarily has to consider the transition period that the study of the subject is going through, as well as the way in which the different levels of regulation are able to interact with each other.

Degree

thesis:*
Grantor dc:publisher
Università degli studi di Trento
Year dc:date
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • De Mari Casareto Dal Verme, Tommaso
Contributors dc:contributor
  • Bellantuono, Giuseppe

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
  • license:Creative commons
  • license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
Language dc:language
ita

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:iris.unitn.it:11572/378609

Chain of custody

source
Harvested from
Università degli Studi di Trento
Base URL
iris.unitn.it/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

De Mari Casareto Dal Verme, Tommaso. Intelligenza Artificiale e responsabilità civile. Un'indagine sui criteri di imputazione fra tradizione e innovazione.. Università degli studi di Trento, 2023. https://hdl.handle.net/11572/378609