D6PIT17 Theory of law of information and communication technologies VI

Faculty of Law
Spring 2020
Extent and Intensity
0/0. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. JUDr. Radim Polčák, Ph.D. (lecturer)
Guaranteed by
doc. JUDr. Radim Polčák, Ph.D.
Institute of Law and Technology - Faculty of Law
Contact Person: Hana Jelínková
Prerequisites
This course does not have any prerequisites. General requirement for enrollment to this course is advanced knowledge of legal English incl. specific terminology of legal theory, legal philosophy and ICT law.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
Fields of study 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
  • 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
Czech
The course is also listed under the following terms Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019.
  • Enrolment Statistics (recent)
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