eventCultures of AI [Cultures of AI] (S)
person Simon Roloff

Next appointment: 16. October at 10:15

Dates

every 14 days | Friday | 10:15 - 13:45 | 12.10.2026 - 15.01.2027 | C 14.203 Seminarraum
single appointment | Fr, 22.01.2027, 10:15 - Fr, 22.01.2027, 13:45 | C 14.203 Seminarraum

Curriculum context

Written academic performance without supervision
Date of assessment: Wednesday, 31.03.2027
Resit date: : Keine selbständige Anmeldung zum Wiederholungstermin möglich. info_outline
Thursday, 30.09.2027
For assessment, students write a Field Brief: they choose a concrete AI application in a field of their own (close to their major), analyse it along the four operations, and conclude with a recommendation for an actor-role in that field. | Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.

Organizational information

Seminar
Vollständig Präsenz
2
centralized lottery procedure with participant limit
36

Registration

centralized lottery procedure with participant limit

Registration does not begin until 02.10.2026 at 08:00. It ends on 12.10.2026 at 23:59.

The registration is restricted to the following fields or courses of study:

  • Leuphana Bachelor / Minor Artificial Intelligence / alle Semester
  • Leuphana Bachelor / Minor Studium Individuale / alle Semester
  • Leuphana Bachelor / Major Studium Individuale / alle Semester

Persons

Content

Englisch
Cultures of AI
none

This seminar examines the claim that artificial intelligence is not only a set of technologies but a cultural formation — a way of organising knowledge, labour, language, vision, and decision-making through specific operations of meaning-making. The changes AI brings to professional and social fields depend on these operations as much as on its technical capabilities.
The seminar is structured around four such operations through which AI reshapes the fields it touches: classifying (how AI is built on labels and taxonomies, and in turn re-categorises society); correlating (what happens to knowledge and intelligence once they become dependent on statistics); generating (what happens when humans lose their classical role in knowledge and creative work); and deciding (where automated bureaucracy and policing raise new questions of accountability). Each operation will be examined by reading central texts from Critical AI Studies (Crawford, Paglen, Amoore, Bender, Eubanks, Buolamwini, Pasquinelli, and others) alongside the analysis of concrete artefacts: datasets, generative outputs, real cases of algorithmic decision-making.
Students will present and discuss texts in class and take part in applied exercises. For assessment, they write a Field Brief: they choose a concrete AI application in a field of their own (close to their major), analyse it along the four operations, and conclude with a recommendation for an actor-role in that field.

Evaluation

This course has not been registered for teaching evaluation yet.

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

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