Smart cities, artificial intelligence and digital transformation law
A.A. 2023/2024
Obiettivi formativi
· The course has the specific purpose of giving students: a thorough knowledge of the topics covered by the course, both from a technical and legal point of view, on the assumption of the acquisition of the first basic elements during the previous university career;
· the ability to critically address issues and resolve legal issues through the revision of the concepts learned;
· strengthening the technical and IT language relevant to the subject, in English;
· the ability to link the different topics in order to elaborate useful proposals for the solution of concrete cases, also through casuistic cutting lessons carried out with the active participation of the students.
· the ability to critically address issues and resolve legal issues through the revision of the concepts learned;
· strengthening the technical and IT language relevant to the subject, in English;
· the ability to link the different topics in order to elaborate useful proposals for the solution of concrete cases, also through casuistic cutting lessons carried out with the active participation of the students.
Risultati apprendimento attesi
At the end of the course the student who has successfully learned the subject will have an in-depth knowledge of the topics of the course, with the acquisition of a reasoning method suitable for dealing with more specific and complex IT-legal subjects with respect to institutional notions.
Periodo: Primo semestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento può essere seguito come corso singolo.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Primo semestre
Programma
The rule of law in the digital transformation age: global trends 2020-2050.
Machine learning and IA
Data protection.
Surveillance and security.
Big data issues.
Smart cities.
Protecting critical infrastructures.
Internet of things.
E-democracy: the government with algorithms.
Technologies and human rights.
Legal tech: Predictive theories and technologies in Courts.
Open source and free software.
Sharing economy & digital single market.
Industry 4.0, robots and law.
Information warfare, fake news and disinformation
Computer ethics.
Machine learning and IA
Data protection.
Surveillance and security.
Big data issues.
Smart cities.
Protecting critical infrastructures.
Internet of things.
E-democracy: the government with algorithms.
Technologies and human rights.
Legal tech: Predictive theories and technologies in Courts.
Open source and free software.
Sharing economy & digital single market.
Industry 4.0, robots and law.
Information warfare, fake news and disinformation
Computer ethics.
Prerequisiti
Non sono previsti particolari pre-requisiti per affrontare adeguatamente i contenuti previsti dal corso. Le prime lezioni sono, infatti, dedicate a un'introduzione alle tematiche che possa garantire una preparazione di base per tutta la classe.
Metodi didattici
L'insegnamento consiste in 40 ore di lezioni in aula tenute dal Professore.
Materiale di riferimento
Il materiale su cui studiare (siti web, paper, pubblicazioni liberamente accessibili online) sarà indicato in classe durante il Corso.
Modalità di verifica dell’apprendimento e criteri di valutazione
La prova finale si svolge in forma orale in sessione di esami, con un'interrogazione composta da almeno tre domande su tre diverse parti del programma.
Docente/i
Ricevimento:
giovedì dalle 10,30 alle 11,30 scrivendo una mail a [email protected]
Dipartimento "Cesare Beccaria"