Smart Cities, Artificial Intelligence and Digital Transformation Law
A.Y. 2021/2022
Learning objectives
· 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.
Expected learning outcomes
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.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Lessons will take place in the classroom in person, at the established times, and will be broadcast on Teams in real time in synchronous mode. Information on how to access Microsoft Teams lessons and other instructional instructions will be uploaded to the course's ARIEL website, which is recommended to be consulted regularly.
Course syllabus
The course aims to provide students with a complete knowledge of the main legal issues related to new technologies and their evolution, in order to allow independent evaluation procedures, useful for the future professional context. The program will be divided into twenty two-hour lessons, during which the Professor will focus on the importance of Smart Cities and the impact of new technologies in all areas of society.
· 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.
· 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.
Prerequisites for admission
There are no particular pre-requisites for adequately addressing the contents of the course. The first lessons are, in fact, dedicated to an introduction to the themes that can guarantee a basic preparation for the whole class.
Teaching methods
The Course consists of 40 hours of classroom lessons held by the Professor.
Teaching Resources
The material to be studied will be indicated in class.
Assessment methods and Criteria
The final exam takes place orally in the exam session, with a question consisting of at least three questions on three different parts of the program. At the end of the course, it is possibile for the student who attended at least 75% of the lesson hours to have the exam in the form of an essay or a Multiple Choice test with 30 multiple choice questions, depending on the student's preferences
Professor(s)
Reception:
thursday 10:30 - 11:30 (send an email to [email protected])
Dipartimento "Cesare Beccaria"