Duration
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications : 20h Th
English support module (Semester 1) : 15h AUTR
Number of credits
| Bachelor in law | 3 crédits |
Lecturer
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications : Nicolas Petit
English support module (Semester 1) : Kevin Heyeres, Caroline Hougardy, Estelle Oger, Victoria Purchon
Coordinator
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 course is taught in English and is organized in two parts :
- in the first part, the course will focus on the legal discipline; it will be taught by a law professor, in English
- in the second part, language support is offered by a linguist (operating with the ISLV), in close contact with the relevant law professor
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
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.
English support module (Semester 1)
This supplementary English module aims at making it easier for students to deal with the language of law classes taught in English.
It focuses mainly on active skills such as speaking and writing in areas covered by law classes taught in English, and on vocabulary relevant to those classes.
Students will also study various language functions that are typical in a legal and academic context in order to improve oral interactions in the classroom, oral presentations, summing up texts, expressing the opinion of another or expressing one's opinion, or drafting and presenting case briefs.
Learning outcomes of the learning unit
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
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.
English support module (Semester 1)
At the end of this class, students will have improved their legal English skills in an academic environment.
Students will be better at using English during law classes. They will be better prepared to deal with the language of law classes taught in English.
Prerequisite knowledge and skills
Corequis : Legal Terminology in English
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
Prerequisite or corequisite units are presented within each program
Planned learning activities and teaching methods
English support module (Semester 1)
This language module is not optional and regular attendance as well as active participation is strictly necessary.
Mode of delivery (face-to-face ; distance-learning)
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
Face to face. Ex cathedra
English support module (Semester 1)
This in-course exclusively consists of in-class sessions.
Recommended or required readings
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
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:
- Nicolas Petit, « Artificial Intelligence, Rules of Origins and the Lemons Problem », Medium, 24 August 2016, available on https://medium.com/@CompetitionProf.
- Nicolas Petit, « Law and Regulation of Artificial Intelligence and Robots - Conceptual Framework and Normative Implications », SSRN, 14 March 2017, available on https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2931339.
- Nicolas Petit, « Artificial Intelligence and Automated Law Enforcement : A Review Paper », SSRN, 26 March 2018, available on https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3145133.
This list of texts is not exhaustive. Depending on the news related to the subject, other short texts may be submitted to students.
English support module (Semester 1)
The textbook is available on e-campus.
Assessment methods and criteria
Each student will obtain a global mark for the course, which consists of two separate grades, one for each section of the course, as follows :
- 3/4 of the global markt for the legal part;
- 1/4 of the global markt for the language support part.
A student who obtain a grade equal or lower than 8/20 for one of the two components, is not entitled to obtain more dans 9/20 for the global markt
An exemption for the language support part can be obtained for the second examination session. No partial exemptions can be obtained for one or the other section of the course, from one year to the next.
Option Langues et mobilité :
Students who have completed one of the language course in bloc 2 under the "language and mobility option" and who are taking a second course in the same language in bloc 3 are exempted from the language supplement for the second course.
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
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.
English support module (Semester 1)
The assessment will consist of an oral exam with preparation. It will take place during the January exam session.
Work placement(s)
Organizational remarks
Students registered for the bachelor in laws at the University of Liège and taking up this course, are required to sign up as well for an additional training in English. This additional training is not compulsory for Erasmus students and other students signing up for the course.
Contacts
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
Nicolas Petit (Nicolas.Petit@uliege.be)
For questions concerning the organization of the course, please contact Jerome De Cooman (Jerome.Decooman@uliege.be)
English support module (Semester 1)
Coordination: Caroline Hougardy(C.Hougardy@ulg.ac.be
)
1er quadrimestre
Kevin Heyeres (Q1) - k.heyeres@ulg.ac.be
Victoria Lemaire (Q1) - vlemaire@ulg.ac.be
Estelle Oger (Q1) - estelle.oger@ulg.ac.be (estelle.oger@ulg.ac.ve
)
2e quadrimestre
Frédéric Depas - F.Depas@ulg.ac.be
Pierre Geron - pierre.geron@ulg.ac.be
Caroline Hougardy - C.Hougardy@ulg.ac.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
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
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English support module (Semester 1)
Case briefing skills.
Assessment methods
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
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
English support module (Semester 1)
The oral exam has been cancelled. Instead, students will be asked to send their teacher a video of a case brief.
Students are requested to record a 3-minute video presentation of a court decision of their own choice and to send it is as an mp4 file via E-Campus (tab "Final assignment April 2020").
The deadline is the 25th of August 2020. Students who have not sent in a video by that date will be marked as absent.
Contacts
Law of artificial Intelligence, Robots and Data-driven Algorithmic Applications
jerome.decooman@uliege.be
English support module (Semester 1)
Group 1: K. Heyeres K.Heyeres@uliege.be
Group 2: E. Oger estelle.oger@uliege.be