Digitalization and Decision Making
A.Y. 2020/2021
Learning objectives
The course is aimed at providing the students explanatory elements concerning the technological innovation and its effects on the current regulation. In detail the analysis will focus on the role of digital platforms, systems of automated decision and the increasing influence of AI on the decision making of private and public bodies. Moreover it will highlight the necessary reshaping of the legal categories in a digitalised environment.
Expected learning outcomes
The main goal is strengthening the students' assessment ability with regard to the present world-wide experiences and especially the role of the new technologies as well as their advantages and criticism. As for the teaching method the course will be carried out trough cases and leaded discussions in order to promote students' improvements in understanding and speaking ability.
Lesson period: Third trimester
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
Lesson period
Third trimester
The programme of the course is confirmed and it will be the same in both situations: on line or in person (depending on the official lines).
Literature can be changed as the sector is constantly updating.
New materials can be communicated in Ariel - bacheca and at the beginning of the course.
Literature can be changed as the sector is constantly updating.
New materials can be communicated in Ariel - bacheca and at the beginning of the course.
Course syllabus
The digital/platform economy: basic features:
1. innovative elements of the online markets
2. big data and big analitics; personal data protection
3. the algorithsms : what are they?
4. to regulate or not to regulate? how and what?
5. digitale conomy and antitrust
1. innovative elements of the online markets
2. big data and big analitics; personal data protection
3. the algorithsms : what are they?
4. to regulate or not to regulate? how and what?
5. digitale conomy and antitrust
Prerequisites for admission
Some knowledge of basic economic and legal topics.
Teaching methods
Teaching is based on an interactive method and discussions of cases and documents.
Teaching Resources
1. Canepa, Il dilemma della regolazione delle piattaforme: l'introduzione dell'uber-test, in I servizi pubblici, 2018
2. Caso UBER - Causa C-434/15 - CONCLUSIONI DELL'AVVOCATO GENERALE presentate l'11 maggio 2017
3. D'Acquisto, Big Data e Privacy by design (pagine sparse su Big Data), 2017
4. Pizzetti, La protezione dei dati personali e la sfida dell'Intelligenza Artificiale (pff. 5 e 16), in Intelligenza Artificiale, protezione dei dati personali e regolazione, 2018
2. Caso UBER - Causa C-434/15 - CONCLUSIONI DELL'AVVOCATO GENERALE presentate l'11 maggio 2017
3. D'Acquisto, Big Data e Privacy by design (pagine sparse su Big Data), 2017
4. Pizzetti, La protezione dei dati personali e la sfida dell'Intelligenza Artificiale (pff. 5 e 16), in Intelligenza Artificiale, protezione dei dati personali e regolazione, 2018
Assessment methods and Criteria
The final test is written and aimed at checking the capability to understand the concepts and to communicate in an appropriate and adequate language.
IUS/05 - ECONOMICS LAW - University credits: 3
Lessons: 20 hours
Professor:
Ammannati Laura