GLCb2028 Artificial Intelligence in Political Science and Security Studies

Faculty of Social Studies
Autumn 2023
Extent and Intensity
1/1/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Jan Kleiner, Ph.D. (lecturer)
Mgr. Otto Eibl, Ph.D. (lecturer)
Mgr. Robin Burda (lecturer)
Guaranteed by
Mgr. Jan Kleiner, Ph.D.
Department of Political Science – Faculty of Social Studies
Contact Person: Mgr. Jan Kleiner, Ph.D.
Supplier department: Department of Political Science – Faculty of Social Studies
Timetable
Tue 14:00–15:40 P21b
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 20 student(s).
Current registration and enrolment status: enrolled: 13/20, only registered: 1/20, only registered with preference (fields directly associated with the programme): 1/20
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 (in Czech)
This course aims to familiarise students with the emerging revolution in artificial intelligence and help them grasp its potential for their scientific and future professional work. There are serious ethical and other issues in the current AI development. Hence, students will learn about them and how to mitigate them through theoretical lectures and practical seminars. The objective is to enhance students´ ability to use AI tools like ChatGPT efficiently and effectively and streamline their academic and professional skills (incl., e.g., presenting).
Learning outcomes (in Czech)
By the end of this course, students are expected to demonstrate a comprehensive understanding of the fundamental concepts and history of AI and its applications in political science and security and strategic studies. They will furthermore be able to 1) use AI tools ethically and 2) assess the ethical implications of AI in general, including the regulatory framework that is being built. They will also gain practical skills and methods pertaining to policy and security predictions based on intelligence studies and conduct tabletop and wargame exercises.
Syllabus (in Czech)
  • 1) Course information, requirements, Q&A 2) Introduction to AI in Social Sciences 3) Global Perspectives on AI Regulation – Case Studies 4) Natural Language Processing, Machine Learning and Prompt Engineering 5) Using AI in Science – Practice, Ethics and Building a Toolbox 6) Intelligent Security: AI Applications and Ethical Challenges in Modern Threat Landscape 7) AI-driven Political Communication: Challenges, Implications, and Ethics 8) Policy Intelligence: Harnessing the Power of Language Models in Political Analysis 9) Simulations: Wargame 10) Continuation of the wargame 11) Capstone project lab I 12) Capstone project lab II 13) Capstone project lab III
Teaching methods (in Czech)
Gamification, simulation, seminars, discussion, group project, presentation.
Assessment methods (in Czech)
(1) Active participation in seminars and discussions. (2) Capstone group project and its presentation (a simulation of PolSci or Security Studies related topic - anything from disinformation campaigns, through threat analyses, to wargames).
Language of instruction
English
Further Comments
Study Materials
The course is also listed under the following terms Autumn 2024.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2023/GLCb2028