2018-2019 / DROI8031-2

Introduction to the law of robots, Law of artificial intelligence, robots and data-driven Algorithmic Applications

Duration

20h Th

Number of credits

 Master in data science (120 ECTS)5 crédits 
 Master of science in computer science and engineering (120 ECTS)5 crédits 
 Master in data science and engineering (120 ECTS)5 crédits 
 Master in computer science (120 ECTS)5 crédits 
 Extra courses intended for exchange students (Erasmus, ...)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

Prerequisite knowledge and skills

The course follows and builfs upon the course of "foreign language in a legal context", which is part of the programm of the first and the second holder of bachelor in law.

Planned learning activities and teaching methods

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

Face to face. Ex-cathedra

Recommended or required readings

Power Point + Lectures to prepare

Assessment methods and criteria

Oral examination.

Work placement(s)

Organizational remarks

Contacts

Contact : Nicolas Petit  (Nicolas.Petit@ulg.ac.be)