Regulating Digital Platforms

A.Y. 2021/2022
Overall hours
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, especially as regulators 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.
Course syllabus and organization

Single session

Lesson period
Third trimester
More specific information on the delivery modes of training activities for a. y. 2021-22 will be provided over the coming months based on the evaluation of the public health situation
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. Platforms and ecosystems: how to regulate
5. The new European regulations
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
· A. Canepa, Profilazione, nuove dinamiche di mercato e tutela degli utenti G. D'Acquisto, Big data e protezione dei dati personali
· L. Ammannati, La circolazione dei dati : dal consumo alla produzione, Riv. Trim. Dir. Econ., 2020 (4)
· Tega, La Corte di Giustizia qualifica i servizi offerti da Uber, in, gennaio 2018
· L. Ammannati - G.L. Greco, Piattaforme digitali, algoritmi e big data: il caso del credit scoring (in corso di pubblicazione)
· 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
· Torreggiani, Il dato non personale alla luce del regolamento(UE) 2018/1807, in, giugno 2020
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