Lessons. Seminars
Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.
Learning assessment may also be carried out on line, should the conditions require it.
Lessons held in classroom by the teacher; tutorials and seminars will be held in order to deepen some topics.
Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.
Learning assessment may also be carried out on line, should the conditions require it.
Recent developments in AI technology have seen important steps in in its use in various contexts, including law.
The course will examine, through three modules divided among the teachers proposing, the different juridical profiles of artificial intelligence, analyzing the new legal models, the protection of fundamental rights, the implications for the legal theory and the identity of the lawyer.
In particular, the course will examine the problems that derive from the use of AI devices in the field of civil and criminal liability, contract law and, more generally, in the application of traditional legal categories; as well as the challenges arising from the use of algorithms in civil and criminal justice.
Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.
Learning assessment may also be carried out on line, should the conditions require it.
Robot liability
Algoritmic decision
smart contracts
The module aims to analyze the areas within which the technological revolution carried out by the AI could most significantly impact on the needs for protection of legal interests, covered by criminal law, i.e.: law enforcement activities and, in particular, predictive police, where AI systems can provide an important contribution in the fight against, better in the prevention of crimes; the possible use of decision-making algorithms to replace or at least support the judge (and, in particular, the issue of the evaluation of the criminal dangerousness by predictive algorithms and the related precautionary, sanctioning and re-educational treatment will be deepened); finally, the possible cases of involvement of an AI system – as a tool or as an author – in the commission of a crime and the compliance with traditional criminal categories.
a) to examine the evolution of law in relation to technological change;
b) to identify the key problems in adapting traditional legal categories and protecting fundamental rights;
c) to develop a critical awareness of the relationship between law and science
Materials on Studium
F.Basile, Intelligenza artificiale e diritto penale: quattro possibili percorsi di indagine, in DPU – Diritto Penale e Uomo 2019, online, in https://www.penalecontemporaneo.it/upload/3089-basile2019.pdf , pp. 1-33.
A.M.Maugeri, L’uso di algoritmi predittivi per accertare la pericolosità sociale: una sfida tra evidence based practices e tutela dei diritti fondamentali, in Archivio penale 2021, online, in https://archiviopenale.it/File/DownloadArticolo?codice=79045524-aaff-4497-88fc-be501eff1988&idarticolo=27135 , pp. 1-37.
A.Cappellini, Machina delinquere non potest. Brevi appunti su intelligenza artificiale e responsabilità penale, in Criminalia 2019 (online su disCrimen dal 27 marzo 2019), in https://discrimen.it/wp-content/uploads/Cappellini-Machina-delinquere-non-potest.pdf, pp. 1-23.
Study material will be provided and published on Studium