DA6PIT17 Theory of law of information and communication technologies VI

Faculty of Law
Spring 2023
Extent and Intensity
0/0/0. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. JUDr. Radim Polčák, Ph.D. (lecturer)
Guaranteed by
prof. JUDr. Radim Polčák, Ph.D.
Institute of Law and Technology – Faculty of Law
Contact Person: Tereza Buchalová
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to resolve advanced issues of algorithmic decision-making and liability of autonomous systems.
Learning outcomes
At the end of the course, students should be able to:
Understand the problem of automated decision-making
Analyse and resolve complex cases of algorithmic application of law
Analyse and resolve complex legal issues arising from the use of artificial intelligence and autonomous systems
Syllabus
  • The concept of artificial intelligence
  • Algorithmic decision-making
  • Right to know the algorithm
  • Liability of autonomous systems
Literature
    required literature
  • 2. Scherer, Matthew U., Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies (May 30, 2015). Harvard Journal of Law & Technology, Vol. 29, No. 2, Spring 2016. Available at SSRN: https://ssrn.com/abstract=2609777
  • 1. Karnow, C.E.A. Liability for Distributed Artificial Intelligences, Berkeley Technology Law Journal, vol. 11, no. 1, 1996, pp. 147–204
  • 3. Hubbard, F. Patrick. "Sophisticated Robots: Balancing Liability, Regulation, and Innovation." Florida Law Review 66.5 (2014): 1803-1872.
Teaching methods
individual and group tutoring sessions, individual resolution of specific research tasks, colloquial presentation of research results
Assessment methods
Essay resolving assigned scientific issue (50%), colloquial presentation of results of individual research (50%)
Language of instruction
English
The course is also listed under the following terms Spring 2022, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2023, recent)
  • Permalink: https://is.muni.cz/course/law/spring2023/DA6PIT17