Duration
20h Th
Number of credits
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
This course focuses on European artificial intelligence law. As an advanced course, it goes beyond the scope of Regulation (EU) 2024/1689 on artificial intelligence to introduce a critical examination of the main implications of this technology for competition law and intellectual property law.
This course will comprise 20 hours of ex cathedra teaching, structured around at least three main topics:
1. European artificial intelligence law (Regulation (EU) 2024/1689)
2. European competition law and artificial intelligence
2.1. Algorithmic collusion (art. 101 TFEU)
2.2. Algorithmic price discrimination (art. 102 TFEU)
2.3. Algorithmic detection of anticompetitive agreement (AI-driven cartel screening)
3. Intellectual property law and artificial intelligence
3.1. Authors' rights in protected works used as training data
3.2. Copyright protection for artificially-generated works
Given the topicality and rapidly evolving nature of the field, the course will remain closely connected to contemporary debates. New topics may therefore be added to the list during the academic year. Students are also invited to communicate to the instructor any topics they would like to see incorporated into the course, thereby contributing to its development.
Exceptionally, during 2026-2027 academic year, the course will also include presentations by students who have participated in the Blended Intensive Programme (BIP) on Artificial Intelligence (organised in partnership between the University of Liège, the Università di Torino and Universitat Pompeu Fabra).
Learning outcomes of the learning unit
This course is designed to enable students to acquire an in-depth understanding of European artificial intelligence law, notably through the study of the challenges and opportunities that artificial intelligence systems and models present for competition law and intellectual property. To this end, it adopts a holistic approach that extends beyond the scope of EU artificial intelligence regulation (2024/1689), which is the subject of the course DROI1357-1 European law, (big) data and artificial intelligence applications seminar.
Given the rapidly evolving nature of the field, the course is firmly grounded in contemporary debates through practical scenarios and concrete examples drawn from actual administrative and judicial decisions.
Prerequisite knowledge and skills
The course covers concepts from European Union competition law, intellectual property law, and EU artificial intelligence law. None of these disciplines, nor the courses pertaining to them,constitutes a formal prerequisite or co-requsite. Whenever concepts from these fields are introduced in the context of artificial intelligence systems, the instructor will provide the necessary explanation of the relevant foundational concepts, thereby ensuring that students can engage with the course material withour requiring prior specialised knowledge in these areas.
Planned learning activities and teaching methods
At present, there is no MOOC associated with this course. However, a MOOC on artificial intelligence law is currently being developed. Subject to its timely publication, students will be invited to complete it.
Subject to current developments and the number of students enrolled, video materials may be shown in class and used as a basis for interactive discussion with students.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Further information:
By default, the course will be delivered in person and will consist of 20 hours of ex cathedra teaching.
Exceptionally, where the number of students enrolled permits, the course structure may be adapted to follow a flipped classroom model, involving active student participation and continuous assessment throughout the semester.
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Further information:
No written course materials (textbook) are available for this course from the University Press. This is compensated for by a comprehensive PowerPoint presentation, which can serve as a basis for students' course notes. In addition, relevant extracts from books, book chapters, academic articles, and case law will be made available to students via eCampus. Each document will be clearly identified as either required or optional reading.
Exam(s) in session
Any session
- In-person
oral exam
Further information:
By default, assessment takes the form of a closed-book oral examination, preceded by a preparation period.
Exceptionally, where the number of students enrolled permits, the course structure may be adapted according to the principles of a flipped classroom model, involving active student participation and continuous assessment throughout the semester.
Work placement(s)
n.a.
Organisational remarks and main changes to the course
See above
Contacts
For forther information, please contact Jerome De Cooman (jerome.decooman@uliege.be)
Association of one or more MOOCs
There is no MOOC associated with this course.
Further information:
At present, there is no MOOC associated with this course. However, a MOOC on artificial intelligence law is currently being developed. Subject to its timely publication, students will be invited to complete it.