eventCritical AI Studies: Engaging with an Emergent Field of Research [Critical AI Studies: Engaging with an Emergent Field of Research] (S)
person Stephan Scheel

Next appointment: Next week Thursday at 14:00

Dates

every 14 days | Thursday | 14:00 - 17:30 | 06.04.2026 - 10.07.2026 | HMS 139
single appointment | Th, 04.06.2026, 14:00 - Th, 04.06.2026, 17:30 | HMS 231/232 | Raumänderung

Curriculum context

Written academic performance without supervision
Date of assessment: Tuesday, 15.09.2026
Resit date: : Keine selbständige Anmeldung zum Wiederholungstermin möglich. info_outline
Monday, 30.11.2026
10–12 pages (ca. 30.000 characters incl. spaces)  | Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.

Organizational information

Seminar
max. 2 of 14 sessions (~14%) online synchronous
2
central procedure for assignment of remaining places (with participant limit)
20

Registration

central procedure for assignment of remaining places (with participant limit)

Registration ends 07.4.2026 at 23:59 h

Content

Englisch
Critical AI Studies: Engaging with an Emergent Field of Research
none

Generative A.I. tools like ChatGPT, Gemini or Midjourney are transforming the ways in which the production of art, science, texts and news are practiced. A.I. tools are also being tested for accomplishing important tasks of government, policy deliberation and decision-making in all policy fields, ranging from migration and refugee management to healthcare and the distribution of welfare and proactive modes of “personalized government”. On a mundane level we already encounter A.I. tools in the form of chatbots on social media platforms, messengers and customer service portals. The ongoing “A.I.-revolution” thus undoubtedly has huge implications for the ways we work, live and interact with one another. At the same time, there are considerable concerns about the epistemic, social, political, psychological, environmental and economic implications of A.I., as illustrated by concerns about deskilling, immense job lay-offs, self-training A.I.’s spinning out of control, the record-breaking investments in computational power eventually leading to a bursting ‘A.I.-bubble’, the amplification of sexist and racist bias and content, or the proliferation of political misinformation and ‘deep fakes’. This course offers an introduction to the burgeoning field of critical A.I. studies which has emerged in response to these concerns and challenges. The main objective of this class is to learn more about the history, operational logics, potentialities, risks and limitations of A.I. through shared readings and practical engagements.

- overview of the field of critical AI-studies
- practical engagements with AI-tools to assess their strenghts, weaknesses, potentials and risks
- reading and writing of academic texts

Evaluation

An evaluation was registered for this course

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html

DE | EN
IMPRINT
GET SUPPORT!