Seminar: Research Seminar Ethics and Critical Theories of Artificial Intelligence - Details

Seminar: Research Seminar Ethics and Critical Theories of Artificial Intelligence - Details

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General information

Course name Seminar: Research Seminar Ethics and Critical Theories of Artificial Intelligence
Subtitle
Course number 8.30604
Semester SoSe 2025
Current number of participants 12
expected number of participants 25
Home institute Ethics of AI
Courses type Seminar in category Offizielle Lehrveranstaltungen
First date Wednesday, 16.04.2025 13:15 - 15:45, Room: (50/316)
Type/Form
SWS 3
Primary Language of Instruction Englisch / English
ECTS points 4

Rooms and times

(50/316)
Wednesday: 13:15 - 15:45, weekly (14x)

Module assignments

Comment/Description

This research seminar covers advanced topics in the Ethics of AI, critical social theory of the digital society, privacy and data protection. We read recent publications in the field as well as classical texts, and debate presentations of ongoing projects. Each session will combine text-based work with discussions in an intensive 3-hour format. The research seminar is open to advanced Ph.D., MA and BA students specializing in the field, including but not limited to those who aim to write their BA/MA/Ph.D. thesis in the Ethics of AI research group.

Prerequisites: This course requires advanced knowledge in the field of Ethics of AI. New participants must have completed the "Introduction to the Ethics of AI" lecture and at least one additional seminar offered by the members of Ethics of AI research group (or equivalent classes at other universities). Interested students need to be approved to the course based on a motivation letter introducing themselves and their experience in the field. Please send your motivation letter until the week before the first session to office-muehlhoff@uni-osnabrueck.de, stating "motivation letter colloquium" in the subject line. Please also state in that email whether you prefer to participate on site or remotely.

The course is taught in a hybrid format; remote participation is possible at any time.

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.