30
Private Law
REGGIO DI CALABRIA
Overview
Date/time interval
Syllabus
Course Objectives
The course examines the relationship between technological developments in artificial intelligence and the national and European legal system from a private law perspective. It therefore proposes to critically compare these developments with civil law institutions such as contracts, civil liability and the individual. The course aims to provide students with: (i) basic knowledge of the uses and applications of artificial intelligence in relations between private individuals, including through the examination of case studies (knowledge and understanding); (ii) the tools to assess how the phenomenon fits into traditional categories and existing regimes (applying knowledge and understanding); (iii) the tools to verify the adequacy of these regimes or the need for new rules, including emerging proposals on the subject (making judgements) (iv) the ability to describe and explain the legal issues and problems of the subject, improving their communication skills, including in debate with other qualified individuals (communication skills) - (v) the knowledge and skills necessary to keep up to date and independently follow developments in a constantly evolving subject in the future (learning skills).
Course Prerequisites
The acquisition of the knowledge covered by the Institutions of Private Law 2 course and an adequate knowledge of basic legal language is necessary for the successful study of the subject and adequate preparation for the examination.
Teaching Methods
The main mode of teaching and knowledge transfer is lecture, which will also be conducted using slides.
The
development of the ability to apply knowledge will be pursued through constant
reference to practical cases and life situations.
The appropriate use of technical legal language will be pursued by favouring the explanation of the institutes through the systematic reading of the main normative reference texts.
Assessment Methods
Learning is verified both during the lectures, through questions that the lecturer asks the students on the topics already covered, and through the conduct of the final examination.
The final examination takes place in oral form and consists of an interview aimed
at ascertaining knowledge of the syllabus, the ability to frame phenomena,
argumentative coherence and language property.
For the purposes of awarding the mark, the following criteria shall be followed:
30 cum laude: complete, in-depth and critical knowledge of the topics, excellent
property of language, complete and original interpretative ability, full
ability to independently apply the knowledge to solve the proposed problems;
28 - 30: complete and thorough knowledge of the topics, excellent ownership of
language, complete and effective interpretative ability, able to autonomously
apply the knowledge to solve the proposed problems;
24- 27: knowledge of the topics with a good degree of mastery, good ownership of
language, correct and confident interpretative ability, good ability to apply
most of the knowledge correctly to solve the proposed problems;
20- 23: adequate knowledge of the topics but limited command of them,
satisfactory command of language, correct interpretative ability, more than
sufficient ability to apply the knowledge independently to solve the proposed
problems;
18- 19: basic knowledge of the main topics, basic knowledge of technical
language, sufficient interpretative ability, sufficient ability to apply the
acquired basic knowledge;
Insufficient:does not possess an acceptable knowledge of the topics covered during the
course.
Texts
1. Regolamento (UE) 2024/1689 del Parlamento europeo e del Consiglio, del 13 giugno 2024, che stabilisce regole armonizzate sull'intelligenza artificiale
Disponibile in https://eur-lex.europa.eu/eli/reg/2024/1689/oj?locale=it
1.bis L. 23 settembre 2025, n. 132
Disposizioni e deleghe al Governo in materia di intelligenza artificiale.
2. Casonato C., Marchetti B., Prime osservazioni sulla proposta di regolamento dell’Unione Europea in materia di intelligenza artificiale, in BioLaw Journal-Rivista di Biodiritto, 3/2021, p. 415-437
disponibile in open source (https://teseo.unitn.it/biolaw/article/view/1793/1767)
3. Palmerini E., Algoritmi e decisioni automatizzate. Tutele esistenti e linee evolutive della regolazione, ne I DIRITTI FONDAMENTALI NELL’ERA DELLA DIGITAL MASS SURVEILLANCE, a cura di Luis Efrén Ríos Vega, Lucia Scaffardi e Irene Spigno, Editoriale Scientifica, Napoli, 2021, p. 209-244
disponibile in materiale dell’insegnamento
4. M.F. Tommasini, Lo smart contract e il diritto dei contratti, in Jus civile, 2022, 4, p. 831- 862
disponibile in materiale dell’insegnamento
5. Jansen-Patti, Demisti?care gli smart contracts, in Osservatorio Dir. Civ. Comm., 1/2020, p. 31-50
disponibile in banca dati Rivisteweb (Il Mulino, Diritto)
6. U. Salanitro, Intelligenza artificiale e responsabilità: la strategia della Commissione Europea, in Riv. dir. civ., 2020, 6, p. 1246 – 1275
disponibile in banca dati Onelegale.
7. Fusaro, Quale modello di responsabilita per la robotica avanzata? Riflessioni a margine del percorso europeo, in Nuova Giur. Civ. Comm. 6/2020, 1344-1356
disponibile in banca dati Onelegale.
8. Albanese, La responsabilità civile per i danni da circolazione di veicoli ad elevata automazione, Europa e dir. priv., 4/2019, p. 995-1044
disponibile in banca dati DeJure
9. Ruffolo U., L’Intelligenza artificiale in sanità: dispositivi medici, responsabilità e ‘‘potenziamento’’, in Giurisprud. Italiana, febbraio 2021, p. 502-508
disponibile in banca dati DeJure
10. Palmerini E., Soggettività e agenti artificiali: una soluzione in cerca di un problema?, in Osservatorio Dir. Civ. Comm., 2/2020, p. 445-474
disponibile in banca dati Rivisteweb (Il Mulino, Diritto)
11. Ruffolo U., Amidei A., Intelligenza Artificiale e diritti della persona: le frontiere del ‘‘transumanesimo’’, in Giurisprud. Italiana, luglio 2019, p. 1658-1670
disponibile in banca dati Onelegale.
Contents
1. Artificial intelligence and discipline: the strategy of European regulation of the phenomenon; the Artificial Intelligence Act.
2. Algorithmic processing of personal data and automated decisions in the GDPR.
3. Artificial intelligence and contract: algorithmic contracting, machine-to-machine contracting, and smart contracting.
4. Artificial intelligence and civil liability. Autonomous vehicles and medical applications.
5. Artificial intelligence and subjectivity: electronic personality.
6. Personhood and new technologies.