This essay aims to address a very thorny topic in criminal proceedings, that of causal nexus. Causal nexus has experienced an important evolution over the years in terms of verification methodology. We focus on the topic highlighting, particularly, its probabilistic outcome. Then, it has arisen the problem regarding judicial errors with a focus on its definition and the procedure suitable for correcting it. Lastly, possible remedies for the judicial errors are proposed, mainly of a preventive nature. In addition, the essay focus on the role of artificial intelligence in the medical field and show the inevitable need for man in this field. Finally, solutions aimed at reducing the number of judicial errors are highlighted and a project is proposed that shows the use of machine learning systems in the medical field.
Quest’elaborato si propone di affrontare un tema assai delicato nel processo penale, quello della causalità. La causalità ha subito negli anni un’evoluzione importante sotto il profilo della metodologia accertativa. Ci si sofferma sul tema, in particolare, evidenziandone l’esito probabilistico. Si pone quindi, la questione circa un errore accertativo del nesso eziologico, approfondendo il concetto di errore giudiziario ed il procedimento idoneo a correggerlo. Si propongono, in aggiunta, possibili rimedi allo stesso, di carattere principalmente preventivo. In aggiunta ci si sofferma sul ruolo dell’intelligenza artificiale in ambito medico e si mostra l’inevitabile necessità dell’uomo in tale ambito. Infine, si evidenziano delle soluzioni volte a ridurre il numero degli errori giudiziari e si propone un progetto che vede l’utilizzo in ambito medico dei sistemi di machine learning.
I nuovi orizzonti della causalità nel processo penale grazie all'utilizzo della prova scientifica
VANUZZO, ELISABETH
2023/2024
Abstract
This essay aims to address a very thorny topic in criminal proceedings, that of causal nexus. Causal nexus has experienced an important evolution over the years in terms of verification methodology. We focus on the topic highlighting, particularly, its probabilistic outcome. Then, it has arisen the problem regarding judicial errors with a focus on its definition and the procedure suitable for correcting it. Lastly, possible remedies for the judicial errors are proposed, mainly of a preventive nature. In addition, the essay focus on the role of artificial intelligence in the medical field and show the inevitable need for man in this field. Finally, solutions aimed at reducing the number of judicial errors are highlighted and a project is proposed that shows the use of machine learning systems in the medical field.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/73439