198877 VU Aspekte der Digitalisierung: Generative Künstliche Intelligenz
Wintersemester 2025/2026 | Stand: 14.10.2025 | LV auf Merkliste setzenDr. Joanna Chimiak-Opoka Dr. Joanna Chimiak-Opoka, +43 512 507 39752
Ass.-Prof. Dr. Viorela Dan Ass.-Prof. Dr. Viorela Dan, +43 512 507 73610
Cenk Guzelis, MA Cenk Guzelis, MA, +43 512 507 64511
Univ.-Prof. Dr. Johannes Nikolaus Hoff, MA Univ.-Prof. Dr. Johannes Nikolaus Hoff, MA, +43 512 507 85244
Univ.-Prof. Adam Jatowt, PhD Univ.-Prof. Adam Jatowt, PhD, +43 512 507 39764
Univ.-Prof. Dr. Matthias Christoph Kettemann, LLM Univ.-Prof. Dr. Matthias Christoph Kettemann, LLM, +43 512 507 81605
assoz. Prof. Mag. Alexander Peter Kupfer, PhD assoz. Prof. Mag. Alexander Peter Kupfer, PhD, +43 512 507 73223, +43 512 507 39759
Univ.-Prof. Justus Piater, PhD Univ.-Prof. Justus Piater, PhD, +43 512 507 53264
Rachel Sara Pole, MA Rachel Sara Pole, MA, +43 512 507 41423
Dipl.-Ing. Dipl.-Ing. Anna Pompermaier Dipl.-Ing. Dipl.-Ing. Anna Pompermaier, +43 512 507 64545
Ass.-Prof. Mag. Mag. Dr. Clara Rauchegger, LLM Ass.-Prof. Mag. Mag. Dr. Clara Rauchegger, LLM, +43 512 507 39758
assoz. Prof. Antonio José Rodriguez-Sanchez, MSc PhD assoz. Prof. Antonio José Rodriguez-Sanchez, MSc PhD, +43 512 507 53270
Mag. Katrin Schmiderer, BA PhD Mag. Katrin Schmiderer, BA PhD, +43 512 507 43005
Ass.-Prof. Mag. Dr. Matthias Schurz Ass.-Prof. Mag. Dr. Matthias Schurz, +43 512 507 56061, +43 512 507 39762
Mag. Dr. Katharina Mara Walter, MA Mag. Dr. Katharina Mara Walter, MA, +43 512 507 42484
Edward Watson Edward Watson, +43 512 507 23582
Upon successful completion of the course, students know a basic understanding of the foundations of generative artificial intelligence (AI) and its impact on different domains. They understand the benefits and risks of AI and they are able to use it in a conscious and responsible way for their own tasks.
The course has two parts: foundations and interdisciplinary perspectives. In the first part, students will learn the basics of neural networks and language models and use AI tools to get hands-on experience. In the second part, they will go through various domains to understand the broad impact of generative AI on humanity. Experts from different domains will present and discuss AI from various perspectives. These domains cover psychology, economy, ethics, law, language mediation, education, and philosophy.
The course consists of lectures, hands-on exercises, and discussions. There may be reading material or writing assignments before or after a unit.
Course assessment is based on regular written and/or oral contributions by participants. Students will collect points from individual units from active participation, e.g. discussions, and small assignments, such as practical exercises, short reports or papers, or multiple-choice tests. Details will be announced for particular units. Students will be graded based on the points collected over the semester. More details will be presented in the first unit.
Will be made available on OLAT.
No previous knowledge of artificial intelligence or any of the domains included in the perspectives part is required for this course.
CONTACT PERSON: Joanna Chimiak-Opoka.
Advanced students in the Digital Science Minor will be given precedence.
Other information about this course is published in the public page.
- Wahlpakete
- Wahlpakete (minors) für Masterstudien an der Universität Innsbruck
- Wahlpakete (minors) für Bachelorstudien an der Universität Innsbruck
- Interdisziplinäres und zusätzliches Angebot
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