1. Knowledge and understanding. The course aims to provide students with a full knowledge of the main legal issues related to the use of new technologies and their evolution, through three macro-themes: smart cities, artificial intelligence and the law in the ongoing digital and technological transformation. 2. Application of knowledge and understanding. The course will provide students with a complete knowledge of the subject in order to correctly interpret the political-social framework relating to new technologies. Students will become familiar with the technical terms related to the innovations of the field. 3. Formulation of judgments. The course aims to provide students with the ability to choose a correct use of technologies with reference to legal issues, with independent evaluation approaches and through the analysis of the legal framework of the different states, with particular regard to the evolution trends of the subject. 4. Communication skills. The course will give students the opportunity to present complex technological and IT-legal issues with language properties and with clarity. 5. Learning skills. The course aims to provide students with a concrete improvement in their advanced computer-legal skills with a very rapid learning curve and with the possibility of immediately using, even outside the university context, the concepts learned. The course has also 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.
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
(se vi sono più edizioni controllare anche il periodo dell'edizione, che può essere diverso)
· 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.
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.
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.