Registration ends 07.4.2026 at 23:59 h

This course examines how generative AI reshapes writing by requiring authors not only to compose text, but also to navigate, probe, and strategically steer the machine. We will both theoretically engage with and experimentally work with text generation in Large Language models focusing on how prompts, system instructions, and stylistic interventions produce particular tones, affects, and “vibes,” and how these reveal the cultural assumptions and operational logics embedded in contemporary models. Students will analyze how meaning is co-produced at the interface between human intention and algorithmic patterning.

By the end of the course, students will be able to analyze the cultural logics behind generative models, understand how affect and style emerge in human–AI interaction, and develop their own critical and creative strategies for writing with and against AI systems.

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