AI004 AI Expert Block

Faculty of Arts
Autumn 2025
Extent and Intensity
2/0. 4 credit(s). Type of Completion: k (colloquium).
In-person direct teaching
Teacher(s)
PhDr. Petr Škyřík, Ph.D. (lecturer)
Mgr. Bc. Kateřina Švidrnochová (lecturer)
Guaranteed by
PhDr. Petr Škyřík, Ph.D.
Department of Information and Library Studies – Faculty of Arts
Contact Person: Mgr. Alice Lukavská
Supplier department: Department of Information and Library Studies – Faculty of Arts
Timetable
Wed 16:00–17:40 B2.43, except Mon 17. 11. to Sun 23. 11.
Prerequisites
The course is open to students from all faculties of Masaryk University, primarily students of the Faculty of Arts.
Interest in the use of AI, willingness to experiment, critical thinking and a proactive approach are welcome.
Target group:
MU students, including PhD students and the wider academic community.
Lectures will be posted on the YouTube channel for the general public.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 80 student(s).
Current registration and enrolment status: enrolled: 79/80, only registered: 12/80, only registered with preference (fields directly associated with the programme): 6/80
fields of study / plans the course is directly associated with
there are 11 fields of study the course is directly associated with, display
Course objectives
- Practical understanding of the use of AI across different disciplines
- Developing critical and analytical thinking about the impact of AI in different fields
- Fostering an interdisciplinary approach by connecting theories and real-world experiences of practitioners
- Understanding current and future AI trends through meetings with leading experts
Learning outcomes
Upon completion of the course, the student will be able to:
- identify the possibilities and limits of the use of AI in various professional disciplines;
- critically evaluate the ethical and social implications of specific AI applications;
- analyze case studies from practice using an interdisciplinary approach;
- discuss with practitioners real applications of AI and formulate relevant questions;
- summarize key interdisciplinary contexts and trends in the development and use of AI.
Syllabus
a course schedule with specific content will be added before the start of the autumn semester
Literature
  • FLORIDI, Luciano. The ethics of artificial intelligence : principles, challenges, and opportunities. Nex York: Oxford University Press, 2023, xxii, 243. ISBN 9780198883098. info
Teaching methods
- Inspiring lectures and discussions with experts from the field
- Voluntary peer-learning in the form of community sharing after each lecture at the lecture venue
- Activating reflection through discussion and feedback
- Public sharing of outputs on YouTube and other platforms
Assessment methods
Attendance
Full-time students:
regular physical attendance at lectures (maximum 3 unexcused absences)
Distance students:
regular online attendance at lectures (maximum 3 unexcused absences)

- Active participation in discussions with speakers
- Ongoing reflection:
Students will complete an ongoing reflection form after each lecture
- Short assignments: students will create at least 3 digital artifacts for 3 lectures of their choice (e.g.
Idea map, video, structured summary, blog article on Medium or LinkedIn)
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
Additional information:
- Materials available in the interactive syllabus
- Recordings of lectures on the KISK MUNI YouTube channel
- The course is hybrid - face-to-face and online
- Teacher contacts will be published on the course platform

Confirmed speakers:-
Matyáš Boháček (AI and misinformation)
- Jan Romportl (AI and the future)
- Daria Hvížďalová (AI and education)
- Lukáš Pitter (AI and design)
- Anna Bohoněk (AI avatars)
- Dita Malečková (AI in the humanities)
(Additional speaker names will be added on the course website.
)
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/phil/autumn2025/AI004