Duration
24h Th
Number of credits
Lecturer
Substitute(s)
Language(s) of instruction
English language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The goal of the seminar is two-fold. On the one hand, it establishes a solid analytical framework for the most salient aspects pertaining to the approaches, methods and strategies in regulating Big Data and new technologies, in particular Artificial Intelligence (AI), in the European Union (EU). These issues will be addressed during a 6-hour cycle of ex catedra lectures.
On the other hand, students will be have the possibility to conduct research on a topic related to AI regulation. To this end, they will be required to identify the key challenges, advantages, disadvantages and possibilities for improvement (in particular the EU's regulatory framework) drawing on the knowledge gained within their fields of specialization (law, political science or applied sciences). Well researched, clearly structured and critical research papers will be expected for submission at the end of the seminar. These papers will be defended during the January exam session.
The papers will be the authored by pluridisciplinary groups of studenrs, the goal being to stimulate and foster a dialogue between lawyers, political scientists and engineers. To achieve this goal, several coaching sessions will be organized with assigned tutors who will provide guidance and give constructive advice, thus helping the students in their exploration of the selected topics.
The suggested themes for the research papers are as follows:
- Consent (GDPR)
- Massive data vs. data minimization (GDPR)
- Profiling and biometric identification
- Copyright protection of artificially generated works
- Patent law protection of artificially generated inventions
- Digitalization and automation in healthcare
- Algorithmic detection of anti-competitive agreements
- Algorithmic (tacit) collusion and price discrimination
- Regulation by design
The groups will include students from different fields of study. The students should communicate to Mr. Jérôme De Cooman a total of three topics of choice. Charged with distributing the topics based on the preferences expressed, Mr. De Cooman will inform the students of the topic of their research, the group they will integrate as well as the name and coordinates of their assigned tutor.
The groups must collectively draft, in English, a research paper on the attributed theme. The expected length of the paper is 10 to 12 pages.
In the drafting of the research papers, the groups must comply with official citation rules (N. BERNARD (ed.), Guide des citations, références et abréviations juridiques, 6 éd., Bruxelles, Kluwer, 2017). It will not be required that a bibliography be annexed at the end of each paper.
With regard to structure, the papers should include: (1) a cover sheet, (2) an introduction including the research question(s) and a general outline of the structure of the study, (3) the core of the paper, the content of which be coherent and be divided into Sections and sub-Sections, (4) conclusion.
The cover sheet should include the following information:
- Student's first and last names;
- The course title and code
- Topic of the research
- Academic year 2022-2023
- The session (first or second session)
- First and last names of the tutor
- The first name and last names of the course instructor
Font: The chosen font is Calibri. The font is black. Direct citations and emphasized terms must be in italics (no bold highlighting or underlining). Headings and subheadings should be in bold characters.
Size: 12 pts for text and 10 pts for footnotes.
Paragraphs - spacing: Paragraphs should be spaced 12 pts apart.
Line spacing should be single-spaced.
Margins: Margins are set at 2.5 cm.
Alignment: Body paragraphs and footnotes will be justified (i.e., aligned both left and right).
Page numbering: Pages are numbered at the bottom right.
Learning outcomes of the learning unit
Solid understanding of the approaches and methods followed in regulating AI and big data in the EU.
Solid knowledge and understanding of the regulatory challenges as well as opportunities presented by new technologies, in particular AI.
Development of legal drafting skills in English.
Development of the ability to present in English before a mixed audience comprised of lawyers, political scientists and engineers.
Active participation in debates on the six main themes addressed in the seminar.
This course contributes to the learning outcomes II.1, II.2, V.1, V.2, VI.1, VI.2, VI.3, VI.4, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in data science and engineering.
This course contributes to the learning outcomes II.1, II.2, V.1, V.2, VI.1, VI.2, VI.3, VI.4, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in computer science and engineering.
Prerequisite knowledge and skills
Openeness to, and exploration of various aspects of the interrelationship between law and new technologies
Planned learning activities and teaching methods
The seminar will consist of in-person sessions.
During the first part (a 6-hour cycle of ex cathedra lectures), PPTs will be used and made available to the students.
The second part will include coaching and discussion sessions between students and the tutors in charge with supervising the students' research and drafting.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Ex catedra Lectures
21.09.2022 : Regulating AI: objectives, approaches and challenges
27.09.2022 by noon : selected research topics to be transmitted to M. Jérôme De Cooman
28.09.2022 : The selection and meaning of the fundamental principles underlying AI Regulation in the EU
05.10.2022 : Accountability and liability for harms caused by autonomous systems
Séances de coaching
12.10.2022 : coaching session n°1
02.11.2022 : coaching session n°2
23.11.2022 : coaching session n°3
14.12.2022 : coaching session n°4
02.01.2023 by midnight : submission, by e-mail, of final research papers to M. Jérôme De Cooman
January 2023 : defense of research reports
Additional coaching sessions can be set up upon the students' request.
Recommended or required readings
Relevant materials (presentations, articles, caselaw) will be made available to the students.
Exam(s) in session
Any session
- In-person
oral exam
Written work / report
Continuous assessment
Additional information:
Final (written) research paper to be submitted in January
The oral exam will take the shape of a defense of the research paper
Continuous assessment: students will be assessed on a regular basis based on their preparation of and involvement in the coaching sessions
Additional information:
- Final draft of research paper : 10 points
- Defense of the research paper : 6 points
- Continued assessment : 4 points
Work placement(s)
Organizational remarks
See the mode of delivery tab above
Contacts
Lecturer:
Ljupcho Grozdanovski (lgrozdanovski@uliege.be)
Assistants
Margaux Clément
Jérôme De Cooman (Jerome.decooman@uliege.be)
Cyril Fischer (Cyril.Fischer@uliege.be)