Intellectual proprerty has gained a pivotal role in data economy and algorithmic innovation. This course explores the norms and contractual solutions pertaining to intellectual and industrial property (i.e. copyright, patents, trade secrets) and the further areas of the immaterial (i.e. personal and non-personal data). These topics are analyzed under the perspective of innovative processes implemented through the use of algorithmic resources.
The course is taught entirely in English
The course will analyze the different legal instruments that are meant protect and manage immaterial resources: i.e. trade secrets, patents, copyright, database, and personal data law. Such legal tools, and their contractual settings, will be applied to draw business strategies in the fields of data and algorithmic applications
The learning outcomes of this course include:
- the acquisition of specific knowledge of the subjects covered with reference to national and European legislation,
- the acquisition of theoretical and practical skills relating to the contractual arrangements that companies can adopt in the management of immaterial and algorithmic resources,
- the acquisition of expository and dialectical skills in the legal fields.
A basic knowledge of the English language is required. Students are strongly encouraged to consider the language of the course as an opportunity to acquire specific linguistic skills that are typical of the data economy.
The course is organized through frontal lessons with an interactive method that requires an active participation of the class. Attendance is not mandatory but highly suggested.
Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Prof. Serena Scotto (scotto@economia.unige.it), the Department’s disability liaison.
Introduction to the discipline of the immaterial in the algorithmic age
Copyright in traditional sectors
Software protection
The protection of databases
Copyright and artificial intelligence
Patents
Inventions in the chemical and biotechnological sectors
Inventions and algorithms
Trade secrets
The regulation of personal data
Contracts for the circulation and aggregation of intangible assets
Contracts for the exploitation of algorithmic resources
For attending students: 1. lesson notes; 2. textbook "Lineamenti di diritto industriale", CEDAM, 2024, from page 373 to 411, from page 421 to 459, from page 471 to 484, from page 497 to 610; 3. one article from the followings:
For non attending students: 1. textbook "Lineamenti di diritto industriale", CEDAM, 2024, from page 373 to 411, from page 421 to 459, from page 471 to 484, from page 497 to 610; 2. the following articles:
3. Andrea Ottolia, Big Data e innovazione computazionale, pagine da 43 a 90, da 143 a 152, da 221 a 295, disponibile sul sito www.andreaottolia.it.
Ricevimento: On Monday from midday to 1.00 pm at the Dipartimento di Giurisprudenza (Department of Law), Via Balbi 22, Second floor, Section Diritto commerciale e del lavoro (Commercial and Labor Law) by appointment to be taken both thorugh email at the adress andre.ottolia@unige.it.
ANDREA OTTOLIA (President)
RAFFAELE FRANCESCO ALESSANDRO SERVANZI
The lessons will be held on the I semester and will start on September 23rd, 2024.
The exams will be held exclusively in oral form and in English
The assessment of the acquired knowledge and skills will take place in the following ways:
- punctual questions on regulatory rules or on cases deriving from practice,
- solution to practical problems relating to disputes or contractual arrangements.
The exam method enhances the argumentative ability and the property of language through a dialectical method.
