The students acquire insights into:
The students acquire skills in:
- the basic working principles of AI (on a descriptive, not formal) level
- the human rights framework
- the implications of AI on society, societal processes, and individuals
- interdisciplinary team work with other domains of research
- discussion of current scientific topics across domains
- elaboration of a scientific topic together with experts from other domains
- presentation of their stand-point
This is an interdisciplinary course on AI and its challenges from the perspectives of economy, ethics, computer science, and law for students from various disciplines, and coming from different countries, at the level of MA and PhD.|
Three universities collaborate in this special course format: the Westfälische Wilhelms-Universität in Münster, Germany, the University of Twente, Netherlands, and the Leiden University, Netherlands. Both the teachers and the students will come from all participating universities, from various faculties and represent different disciplines.
The course will combine synchronous teaching (5 classes) with group work of the students. The group work will include writing a paper on an intersectional question of AI and one of the disciplines, and a video presentation of the paper. The group work process relies heavily on the peers sharing their knowledge of the various disciplines, supported by the teachers through consultations.
The number of students expected to enroll is 12-24 students per course.
Exemplary topics that will be addressed by teachers and/or students during lecture and group work:
The course is taught as virtual course (via Zoom / video).
- Introduction in AI
- Human Rights
- Enterprising with AI
- Future of AI in Europe
- Human Rights Implications of AI Technologies
- Facial Recognition / Surveillance / Data Protection
- AI & Human Interaction
- AI Decision Making / Recommendations
Christian Grimme (firstname.lastname@example.org)
Judit Bayer (email@example.com)
The capacity of the course is restricted to 40 participants.
Only registered and admitted students can participate.
- Register for this course in Osiris Student
- Register for this course on algorithmization.org