GLCb2028 Artificial Intelligence in Political Science and Security Studies

Fakulta sociálních studií
podzim 2023
Rozsah
1/1/0. 5 kr. Ukončení: zk.
Vyučující
Mgr. Jan Kleiner, Ph.D. (přednášející)
Mgr. Otto Eibl, Ph.D. (přednášející)
Mgr. Robin Burda (přednášející)
Garance
Mgr. Jan Kleiner, Ph.D.
Katedra politologie – Fakulta sociálních studií
Kontaktní osoba: Mgr. Jan Kleiner, Ph.D.
Dodavatelské pracoviště: Katedra politologie – Fakulta sociálních studií
Rozvrh
Út 14:00–15:40 P21b
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Předmět si smí zapsat nejvýše 20 stud.
Momentální stav registrace a zápisu: zapsáno: 11/20, pouze zareg.: 0/20, pouze zareg. s předností (mateřské obory): 0/20
Mateřské obory/plány
Cíle předmětu
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).
Výstupy z učení
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.
Osnova
  • 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
Výukové metody
Gamification, simulation, seminars, discussion, group project, presentation.
Metody hodnocení
(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).
Vyučovací jazyk
Angličtina
Další komentáře
Studijní materiály
Předmět je zařazen také v obdobích podzim 2024.