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Università degli Studi di Parma Università degli Studi di Parma
Single cycle degree course 5 years in
Law
Università degli Studi di Parma
Department of Law, Politics and International Studies

INTERNET AND ARTIFICIAL INTELLIGENCE LAW - IUS/17
cod. 1010141

Academic year 2024/25
5° year of course - Second semester
Professor
Francesco MAZZACUVA
Academic discipline
Diritto penale (IUS/17)
Field
A scelta dello studente
Type of training activity
Student's choice
6 hours
of face-to-face activities
1 credits
hub: PARMA
course unit
in ITALIAN
lectures timetable unavailable
exam calls

Integrated course unit module: INTERNET AND ARTIFICIAL INTELLIGENCE LAW

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Learning objectives

The module aims to provide the students with fundamentals related to the main issues raised by artificial intelligence in abovementioned criminal matters and by the regulation of cybercrimes.

Prerequisites

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Course unit content

The module aims to provide an overview of the main problems posed by the impact of artificial intelligence on criminal law and cybercrimes.
One part of the module will therefore be devoted to the use of AI in criminal justice (investigations, decisions, prognosis, etc.) and to the physiognomy of criminal guilt in activities where AI is used, with particular reference to self-driving cars.
Another part of the module will be devoted to the main cybercrimes, from abusive access to a computer system, to computer damage hypotheses, up to computer fraud, with particular regard to the recent reform introduced by Law no. 90/2024.

Full programme

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Bibliography

- A. Cappellini, I delitti contro la riservatezza informatica, in Cadoppi-Canestrari-Manna-Papa, a cura di, Diritto penale, Utet, Torino, 2022, pp. 6718-6739 (disponibile su lamiabiblioteca.com)
- A. Cappellini, I delitti di danneggiamento informatico, in Cadoppi-Canestrari-Manna-Papa, a cura di, Diritto penale, Utet, Torino, 2022, pp. 7158-7171 (disponibile su lamiabiblioteca.com)
- L. Bisori, Frode informatica (640-ter c.p.), in Cadoppi-Canestrari-Manna-Papa, a cura di, Diritto penale, Utet, Torino, 2022, pp. 7297-7314 (disponibile su lamiabiblioteca.com)
- G. Ubertis, Intelligenza artificiale e giustizia predittiva, in Sist. pen., 2023, pp. 1-13 (disponibile in open access)
- A. Cappellini, Profili penalistici delle self-driving cars, in Riv. trim. dir. pen. cont., 2019, pp. 325-346 (disponibile in open access)

Teaching methods

Teaching will be provided through in-person lectures. During the lectures, students will be directly involved in the discussion on some of the most important decisions of the recent years. The platform Elly will be used for the publication of research materials and decisions and the lecturer will inform the students about the publication of these materials. The argumentative skills of the students will be developed also through discussions and debates.

Assessment methods and criteria

The final summative assessment, with a mark out of thirty, consists of an oral exam that includes at least three questions.

Other information

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2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.giurisprudenza@unipr.it

Quality assurance office

Education manager:
Mrs Anna Maria Roseto
T. +39 0521 904130
Office E. giurisp.didattica@unipr
Manager E. annamaria.roseto@unipr

President of the degree course

Prof. Luca Ghidoni
E. luca.ghidoni@unipr.it 

Faculty advisor

Prof. Marco Gardini
E. marco.gardini@unipr.it

Career guidance delegate

Prof. Francesco Mazzacuva
E. francesco.mazzacuva@unipr.it

Erasmus delegates

Prof.ssa Malaika Bianchi
E. malaika.bianchi@unipr.it
 

Quality assurance manager

Prof. Andrea Errera
E. andrea.errera@unipr.it 

Internships

E. tirocinigiurisprudenza@unipr.it

Tutor students

link: Tutor for students