MVV320K Artificial Intelligence, Robotics and the Law

Faculty of Law
Spring 2021
Extent and Intensity
0/1/0. 3 credit(s). Type of Completion: k (colloquium).
Taught online.
Guaranteed by
doc. JUDr. Ing. Michal Radvan, Ph.D.
Faculty of Law
Contact Person: Mgr. Věra Redrupová, B.A.
Supplier department: Faculty of Law
Timetable of Seminar Groups
MVV320K/01: Mon 3. 5. 16:00–17:40 041, 18:00–19:40 041, Tue 4. 5. 16:00–17:40 041, 18:00–19:40 041, Thu 6. 5. 18:00–19:40 041
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: 14/30, only registered: 0/30
fields of study / plans the course is directly associated with
there are 38 fields of study the course is directly associated with, display
Syllabus
  • Lecture 1a – Introduction to the course
  • The course will start with a shorter session discussing AI and Robotics and what challenges they present for the law and regulation. The host of legal and ethical dilemmas include discrimination, privacy, agency, authenticity, cybersecurity and democracy.
  • Lecture 1b – Ethics
  • Following up on the Introduction, this second block will examine the ethical considerations behind the development of AI and Robotics.
  • • Should there be restrictions on what AI can do?
  • • Should we be concerned about AI taking over? Who is responsible?
  • • Should there be global agreements?
  • Lecture 2 – Rights
  • This lecture will explore the concept of creativity and the capacity to invent and the scope for protecting AI-generated works and inventions.
  • • How does copyright law apply to AI works?
  • • Is current patent law a suitable way to protect AI?
  • • Legal personhood
  • Lecture 3 – Responsibility
  • This session will address the use of data in AI systems and application and the legal implications.
  • • Big data and data protection
  • • Predictive analytics and privacy
  • • Access to and control of data
  • • Competition and access to data
  • Lecture 4 – Liability
  • This session will look at the issue of liability for harm caused by AI, including the concept of autonomy and agency.
  • • Who is liable for any harm caused?
  • • Compensation and remedies
  • • Insurance levy and registration
  • Lecture 5a – Case study
  • In the first part of the lecture, we will use a case study to demonstrate the issues and challenges that businesses, individuals and policymakers need to navigate in order to provide a robust legal and regulatory framework where AI systems and applications can thrive, without posing unnecessary risks.
  • Lecture 5b – Future developments and policies
  • The second part will provide an opportunity to discuss and formulate the main principles for governing AI.
Literature
  • Reading list will be provided.
Teaching methods
lectures and discussions
Assessment methods
Attendance. Participation. Written assignment.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught only once.
Teacher's information
The evolving area of AI and Robotics gives rise to many ethical and legal questions over the status of robots, the rights and responsibilities arising from their use and liability for any harm caused. The course will explore the issues of legal personhood, the protection of robots through IP, the responsibilities arising from data use and the various approaches to allocating responsibility and liability.

The course covers both embodied artificial intelligent systems (robots) and non-embodied ones (intelligent agents). Distinction is also made between the behaviour of robots as tools of human interaction, and robots as independent agents in the legal arena and its legal ramifications.

  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/law/spring2021/MVV320K