2019-2020 / DROI1016-5

Law course in English, Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications

Duration

20h Th

Number of credits

 Master of Science (MSc) in Data Science5 crédits 
 Master of Science (MSc) in Computer Science and Engineering5 crédits 
 Master of Science (MSc) in Computer Science and Engineering (double diplômation avec HEC)5 crédits 
 Master of Science (MSc) in Data Science and Engineering5 crédits 
 Master of Science (MSc) in Computer Science5 crédits 
 Master of Science (MSc) in Computer Science (double diplômation avec HEC)5 crédits 
 Extra courses intended for exchange students (Erasmus, ...) (Faculté de Droit, de Sciences politique et de Criminologie)3 crédits 

Lecturer

Nicolas Petit

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course will discuss the legal questions related to the regulation of artificial intelligence (AI), a matter of intense acuity with technological development and medium-term marketing services. Amongst the numerous examples that may illustrate this trend, the most emblematic is probably the autonomous car without driver, developed by Google. The development of AI raises profound theoretical questions - opportunity of regulation in a context of technological innovation, the level of regulation (international / local), type of control (self-regulation / binding regulatory, etc.), but also practical ones: rights of AI, AI liability, intellectual property of AI, AI uses for non-commercial purposes, etc. Brand new, the course provides an overview of emerging legal issues related to the emergence of AI and robots.

Learning outcomes of the learning unit

The processes involved are understanding, synthesis and evaluation. At the end of the course, law students will have to master relevant concepts from computer science. Students in data science, civil engineering or computer science will need to master relevant concepts from legal science. In addition, all students will be able to synthesize and evaluate the opinions studied during and / or presented in the texts which had to be prepared.

Prerequisite knowledge and skills

Prerequisite or corequisite units are presented within each program

Planned learning activities and teaching methods

Mode of delivery (face-to-face ; distance-learning)

Face to face. Ex cathedra

Recommended or required readings

No course notes are available.
The Power Point presentation serves as a course support. It is sent at the end of each class.
Several texts will have to be prepared by the students before the course. The dates for these readings will be specified during the course. The texts are freely available to students at:

 
 
A PDF version of the texts will also be made available to students by email or via MyULiege (not eCampus).
This list of texts is not exhaustive. Depending on the news related to the subject, other short texts may be submitted to students.

Assessment methods and criteria

Assessment methods and criteria
The exam takes place in January. This is a written open-course exam.
Second exam session is also a written open-course exam.

Work placement(s)

Organizational remarks

Contacts

Nicolas Petit (Nicolas.Petit@uliege.be)
For questions concerning the organization of the course, please contact Jerome De Cooman (Jerome.Decooman@uliege.be)

Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session

Teaching methods implemented : distance-learning

Assessment subjects

Assessment methods

Contacts

Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session

Assessment subjects

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Assessment methods

En raison des circonstances particulières dues au COVID-19, l'examen de seconde session ne sera pas un examen écrit en présentiel à cours ouvert. À la place, les étudiants recevront en juillet une question ouverte liée à un concept examiné durant les cours. Les étudiants seront appelés à répondre à cette question à domicile en rédigeant un cours travail écrit en utilisant les thèmes étudiés en cours. Les travaux devront être envoyés à l'adresse jerome.decooman@uliege.be dans le courant du mois d'août. Les dates précises et autres informations utiles seront communiquées ultérieurement par mail

Contacts

jerome.decooman@uliege.be