Smart cities, artificial intelligence and digital transformation law
A.A. 2021/2022
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 non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Primo semestre
Le lezioni si svolgeranno in aula in presenza, negli orari stabiliti, e saranno trasmesse su Teams in tempo reale in modalità sincrona. Le informazioni su come accedere alle lezioni su Microsoft Teams e le altre istruzioni sulla didattica saranno caricate sul sito ARIEL del corso, che si raccomanda di consultare regolarmente.
Programma
· First lesson (2 hours): The rule of law in the digital transformation age: global trends 2020-2050.
· Second lesson (2 hours): Machine learning and IA (history).
· Third lesson (2 hours): The use of IA in the Information society.
· Fourth lesson (2 hours): IA for Data protection.
· Fifth lesson (2 hours): Surveillance and security.
· Sixth lesson (2 hours): Drones and the law.
· Seventh lesson (2 hours): Cambridge Analytica and big data issues.
· Eighth lesson (2 hours): Smart cities.
· Ninth lesson (2 hours): Protecting critical infrastructures.
· Tenth lesson (2 hours): Internet of things.
· Eleventh lesson (2 hours): E-democracy: the government with algorithms.
· Twelfth lesson (2 hours): IT in developing countries.
· Thirteenth lesson (2 hours): Technologies and human rights.
· Fourteenth lesson (2 hours): Legal tech: Predictive theories and technologies in Courts.
· Fifteenth lesson (2 hours): Cryptocurrencies.
· Sixteenth lesson (2 hours): Open source and free software.
· Seventeenth lesson (2 hours): Sharing economy & digital single market.
· Eighteenth lesson (2 hours): Industry 4.0, robots and law.
· Nineteenth lesson (2 hours): Information warfare and lawfare.
· Twentieth lesson (2 hours): Computer ethics.
· Second lesson (2 hours): Machine learning and IA (history).
· Third lesson (2 hours): The use of IA in the Information society.
· Fourth lesson (2 hours): IA for Data protection.
· Fifth lesson (2 hours): Surveillance and security.
· Sixth lesson (2 hours): Drones and the law.
· Seventh lesson (2 hours): Cambridge Analytica and big data issues.
· Eighth lesson (2 hours): Smart cities.
· Ninth lesson (2 hours): Protecting critical infrastructures.
· Tenth lesson (2 hours): Internet of things.
· Eleventh lesson (2 hours): E-democracy: the government with algorithms.
· Twelfth lesson (2 hours): IT in developing countries.
· Thirteenth lesson (2 hours): Technologies and human rights.
· Fourteenth lesson (2 hours): Legal tech: Predictive theories and technologies in Courts.
· Fifteenth lesson (2 hours): Cryptocurrencies.
· Sixteenth lesson (2 hours): Open source and free software.
· Seventeenth lesson (2 hours): Sharing economy & digital single market.
· Eighteenth lesson (2 hours): Industry 4.0, robots and law.
· Nineteenth lesson (2 hours): Information warfare and lawfare.
· Twentieth lesson (2 hours): 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. E' prevista una verifica al termine del Corso per i frequentanti almeno il 75% delle lezioni sotto forma di tesina o di test Multiple Choice con 30 domande a risposta multipla a seconda delle preferenze dello studente.
Docente/i
Ricevimento:
giovedì dalle 10,30 alle 11,30 scrivendo una mail a [email protected]
Dipartimento "Cesare Beccaria"