MVV419K Legal Aspects of Application of Unmanned (Autonomous) Vehicles

Faculty of Law
Spring 2025
Extent and Intensity
0/1/0. 3 credit(s). Type of Completion: k (colloquium).
In-person direct teaching
Teacher(s)
Prof. UJD Dr habil. Andrzej Krasuski (lecturer), doc. JUDr. Tereza Kyselovská, Ph.D. (deputy)
Guaranteed by
doc. JUDr. Tereza Kyselovská, Ph.D.
Faculty of Law
Contact Person: Mgr. Věra Redrupová, B.A.
Supplier department: Faculty of Law
Timetable of Seminar Groups
MVV419K/01: Mon 3. 3. 16:00–17:40 041, Tue 4. 3. 16:00–17:40 041, Wed 5. 3. 10:00–11:40 041, Thu 6. 3. 14:00–15:40 041, 16:00–17:40 041
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 26/30, only registered: 0/30
fields of study / plans the course is directly associated with
there are 59 fields of study the course is directly associated with, display
Course objectives
The course will be conducted in the form of lectures ending with a written credit colloquium.

The main objective of the course is to introduce students to the legal issues related to the movement of autonomous vehicles on public roads. The use of autonomous vehicles is a result of developments in artificial intelligence. Students in the lectures will learn what artificial intelligence is and its classifications. This will help them to better understand the characteristics of an autonomous vehicle by comparing it with a conventional vehicle. In the lectures, students will also learn how autonomous vehicles work and the importance of artificial intelligence algorithms used in the movement of these vehicles. Students will be familiarised with the legal issues involved in establishing the legal status of an autonomous vehicle and the driver of such a vehicle. The course will also discuss the legal implications associated with the use of an autonomous vehicle. Students will become familiar with the concepts of criminal law and civil law liability related to the movement of an autonomous vehicle in selected legal systems.
Learning outcomes
At the end of the course, students should be able to:
• demonstrate knowledge of basic artificial intelligence terminology
• know the origins of autonomous vehicles
• identify the characteristics of an autonomous vehicle by comparing it to a conventional vehicle
• understand the decision-making dilemmas associated with the movement of an autonomous vehicle
• make deductions based on acquired knowledge about the legal status of the autonomous vehicle and the driver of an autonomous vehicle
• explore the legal concepts relating to civil and criminal liability in connection with the movement of an autonomous vehicle.
Syllabus
  • • Origins of vehicle autonomy
  • • Definition of artificial intelligence and classifications
  • • Definition of an autonomous vehicle
  • • Modus operandi of an autonomous vehicle
  • • Principles of artificial intelligence algorithms for autonomous vehicles
  • • Legal basis for determining the driver of an autonomous vehicle
  • • Decision-making dilemmas of an artificial agent in connection with the movement of autonomous vehicles
  • • Analysis of legal dilemmas in valuing protected goods
  • • Concepts of criminal law liability in connection with the movement of an autonomous vehicle
  • • Concepts of civil law liability in connection with the movement of an autonomous vehicle.
Literature
  • See Teacher's Information for full details.
Teaching methods
Lecture, class discussion, discussing case studies related to the use of autonomous vehicles.
Assessment methods
Credit on the basis of a written colloquium (as homework) on one of the topics covered in the lectures. The detailed requirements for the volume of the paper and the deadline for submission will be specified in the first lecture.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught only once.
Teacher's information
Literature

Krügel S., Uhl M., Autonomous vehicles and moral judgments under risk, Transportation Research Part A Policy Practice, 2022/155.

Mamak K., Glanc J., Problems with the prospective connected autonomous vehicles regulation: Finding a fair balance versus the instinct for self-preservation, Technology in Society 71 (2022).

Wang L., P. Liu, Not in Control, but Liable? Attributing Human Responsibility for Fully Automated Vehicle Accidents, Engineering 2024/33.

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